WEBVTT

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[SQUEAKING]

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[RUSTLING]

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[CLICKING]

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IAN BALL: All right, so
we're going to start today

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with another MobLab game.

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Hopefully everyone
can get logged in.

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This is going to
be-- the game we're

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going to play is called
the Ultimatum Game.

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And this is probably
the most famous game

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that's used in laboratory
experiments about economics.

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So the way it's going
to work is that you're

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going to be randomly
assigned to two roles.

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One of you is going to be
the proposer, and one of you

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is going to be the responder.

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And there's some pot of money.

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And the proposer
just proposes how

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that money is split between
them and the other person.

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And then the other
person can choose

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to accept that, in which case
you split the money in that way,

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or reject that, in which
case no one gets any money.

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So player 1 makes an ultimatum.

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This is how much money you get.

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This is how much money I get.

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Take it or leave it.

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Player 2 says, I'll take
it, or I'll leave it

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and then we both get nothing.

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So that's the game.

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I think in this version you
have $100, maybe, to split.

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So let's play and
see what happens.

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So here we have a
table of the results.

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What we can see is
the blue circle,

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these are offers
that were accepted.

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So this is the amount
that the proposer

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offered the responder could
receive out of the 100.

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And then the orange circles
are offers that were rejected.

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And then we see
the averages here.

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So we definitely see
that, on average,

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at least especially
in these early rounds,

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the higher offers were
more likely to be accepted,

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and the lower offers were
more likely to be rejected.

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It looks like a
lot of the offers

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were above zero, except
maybe one down here.

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Someone offered zero.

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Anyone who played want
to share their thoughts

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about how they
approached this and how

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they thought about this game?

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So what about when you
were the-- yeah, go ahead.

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AUDIENCE: I was the one who
was receiving the offer.

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So as long as the
amount was positive,

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I would receive it
because otherwise I

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wouldn't [INAUDIBLE].

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IAN BALL: OK, so that's the
ultra-rational way to play.

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And that's what game
theory would propose.

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Often in practice we
don't see that happening.

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But that's a great
way of playing.

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So other people who rejected
positive offers, what

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was your thinking about that?

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Yeah?

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AUDIENCE: I guess I
was less rational.

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If no one offered me 50,
then I was like, well,

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I don't like you.

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So I'm not going to accept that.

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IAN BALL: OK, great.

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AUDIENCE: [INAUDIBLE]

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IAN BALL: So a
lot of people have

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this reaction about fairness.

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So this captures people's
idea of fairness.

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Some people are willing to
sacrifice financial gains

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in order to punish people who
you might feel have morally

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wronged you or done something
that's fundamentally unfair.

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Again, it's a pretty cheap
way to punish someone when

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there's no money on the line.

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If it was $50,000 and
they gave you 49,000,

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you'd probably still
accept it, right?

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But yeah, that's useful.

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And then what about
people who were proposing?

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What was your reasoning?

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Did you propose an even split?

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Did you propose
more for yourself?

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What did you do?

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It's very quiet.

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Someone proposed.

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Some people proposed--
it looks like--

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I guess, if we look
at the game, it

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looks like no one gave more
than 50 to the other person.

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So it looks like
some people felt,

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let's be generous and give 50.

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And then other people
wanted to keep a little more

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for themselves.

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Usually what happens in
this game is people--

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their reasoning is, well, I
anticipate the responder might

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be a bit like you suggested
and might not be happy with me

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if I give them nothing, but
I don't have to give them

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all-- the full half.

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Maybe I'll give them 30 or 40.

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That's a pretty common response.

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And then the hope is that
the person will accept this.

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Here, you actually played
it in multiple rounds.

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Did anyone think about
the dynamics of this game?

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So I think that's an important
consideration in this game.

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Today, we're going to think
about a static version

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of this game.

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But if you're playing
this repeatedly,

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you might think, well,
depending on what

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I do in this round, that might
affect the way the person will

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play in future rounds.

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If they know that I'm someone
who rejects really low offers,

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maybe they'll be forced or
motivated to offer more to me

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in the future.

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And that's something
we'll think about when

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we get into repeated games.

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So let's close this and move
into more of a formal analysis

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of this game.

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So the topic for today
is going to be what's

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called backward induction.

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But I think the best way
to go about it is just

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to think through this example,
and then, later in the class,

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I'll give a more
formal definition.

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So let's look at an easier
version of the ultimatum game.

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I think in the game
you played, you

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could choose any number
between maybe 0 and hundreds.

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Let's make it a bit simpler.

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So let's see the ultimatum
game with maybe $3 at stake.

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And let's think about
how this game works.

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So we have player 1, who's what
we would call the proposer,

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and player 2, who's
the responder.

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And the proposer
is proposing how

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to split the $3 between
themselves and the other person.

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But we're going to
keep track of it

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as thinking about the
proposer, P1, makes an offer.

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So we'll think of
the offer as what

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they offer to the other person.

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And that means that they will
keep the remaining amount.

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So there's two numbers going on.

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But because the numbers
always sum to $3,

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we only have to keep track
of one of those numbers.

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And we'll keep track
of the number, which

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is the amount the
responder would get.

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And then the
responder, player 2,

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can either accept or
reject this offer.

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And as usual, we're
going to assume

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that people are risk neutral so
that monetary payoffs coincide

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with utilities.

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So let's try to represent this
game in the extensive form.

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So first, we have player 1.

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And how much can they
offer to player 2?

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Well, we'll assume
that they can only

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make offers that are in
even dollar amounts just

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to make it a bit simpler.

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So they can either
offer 0, 1, 2, or 3.

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And each of these offers, it's
then player 2's turn to move.

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Of course, these are all in
separate information sets.

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We have to remember that player
2 observes the offer that

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is made by player 1.

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The responder observes the
offer made by the proposer.

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So they can distinguish
these offers.

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And then they choose accept or
reject, which I'll call A/R.

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And now let's make sure
we get the payoffs right.

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So whenever the second
player rejects the offer,

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no matter what the offer
was, both players get 0.

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That's the rule of the game.

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If the offer is
rejected, you both get 0.

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So we're going to have 0,
0; 0, 0; 0, 0; and 0, 0.

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Now, if the offer is
accepted, then the number

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here is the offer that goes to
player 2, which means player

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1 gets the remainder of the $3.

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So up here, it's
going to be 3, 0.

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The accepted offer is an
offer of 0 to player 2,

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and that means player 1 keeps 3.

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Here, it's going to be 2, 1.

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The offer is 1 to
player 2 is accepted.

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And that means the first
player, the proposer, keeps 2.

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Then we have 1, 2, and 0, 3.

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So here's the game.

00:08:13.280 --> 00:08:22.280 align:middle line:84%
And the first approach to
analyzing this game is let's

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think about how we can represent
this game in strategic form.

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So what is a strategy?

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Let's write down what the
strategies are for the players.

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What about for player
1 and for player 2?

00:08:37.620 --> 00:08:42.600 align:middle line:84%
So for player 1, what is
a strategy in this game?

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Well, it's just an offer.

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So for player 1, a strategy is
an element of the set 0, 1, 2,

00:08:49.940 --> 00:08:51.400 align:middle line:90%
3.

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They just choose, how much
do they offer to player 2,

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to the responder?

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What about a strategy
for player 2?

00:08:56.900 --> 00:08:58.960 align:middle line:90%
This is a little trickier.

00:08:58.960 --> 00:09:00.960 align:middle line:84%
How do we represent a
strategy for player 2?

00:09:00.960 --> 00:09:04.540 align:middle line:84%
Or what kind of
mathematical object is it?

00:09:04.540 --> 00:09:05.040 align:middle line:90%
Yeah?

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AUDIENCE: [INAUDIBLE] people?

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IAN BALL: Right.

00:09:06.580 --> 00:09:08.372 align:middle line:84%
So it's a function of
four things, which we

00:09:08.372 --> 00:09:09.860 align:middle line:90%
can represent as a four-tuple.

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Let's first write
it as a function,

00:09:10.960 --> 00:09:12.460 align:middle line:84%
and then I'll
represent it that way.

00:09:12.460 --> 00:09:15.920 align:middle line:84%
So it's a function that says, as
a function of what you offer me,

00:09:15.920 --> 00:09:18.600 align:middle line:84%
I have to choose whether
to accept that offer

00:09:18.600 --> 00:09:19.780 align:middle line:90%
or reject that offer.

00:09:19.780 --> 00:09:21.780 align:middle line:84%
And here we're looking
at pure strategies.

00:09:21.780 --> 00:09:29.720 align:middle line:84%
So it's a function from 0, 1,
2, 3 to either accept or reject.

00:09:29.720 --> 00:09:31.720 align:middle line:84%
And how are we going to
represent that function?

00:09:31.720 --> 00:09:35.520 align:middle line:84%
As you suggested, the way we
normally write down strategies

00:09:35.520 --> 00:09:39.680 align:middle line:84%
is we put one blank space
for each of the information

00:09:39.680 --> 00:09:41.640 align:middle line:90%
sets of the player.

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In this case, the player
has four information sets

00:09:44.480 --> 00:09:46.990 align:middle line:84%
corresponding to the
four possible offers.

00:09:46.990 --> 00:09:50.570 align:middle line:90%
So we have 0, 1, 2, 3.

00:09:50.570 --> 00:09:54.490 align:middle line:84%
And as an example, they might
use a strategy like this.

00:09:54.490 --> 00:09:57.070 align:middle line:84%
And this would be a very common
strategy to use in this game.

00:09:57.070 --> 00:10:00.178 align:middle line:84%
This would say, if you
only offer me 0 or 1,

00:10:00.178 --> 00:10:01.470 align:middle line:90%
I'm going to be upset with you.

00:10:01.470 --> 00:10:02.750 align:middle line:90%
I'm going to find that unfair.

00:10:02.750 --> 00:10:05.510 align:middle line:84%
So I'm going to reject that
offer and punish both of us.

00:10:05.510 --> 00:10:09.570 align:middle line:84%
If you give me 2 or
3, I'm very happy,

00:10:09.570 --> 00:10:11.080 align:middle line:84%
and I'm going to
accept that offer.

00:10:11.080 --> 00:10:11.830 align:middle line:90%
I think it's fair.

00:10:11.830 --> 00:10:14.070 align:middle line:84%
In fact, you've given me
a majority of the pot,

00:10:14.070 --> 00:10:17.250 align:middle line:84%
so I'm very happy,
and I'll accept it.

00:10:17.250 --> 00:10:20.810 align:middle line:84%
So now let's see if we can find
a Nash equilibrium of this game

00:10:20.810 --> 00:10:22.350 align:middle line:90%
involving this strategy.

00:10:22.350 --> 00:10:25.050 align:middle line:84%
So remember, Nash equilibrium
is a strategy profile.

00:10:25.050 --> 00:10:27.410 align:middle line:90%
I've specified one strategy.

00:10:27.410 --> 00:10:30.090 align:middle line:84%
Let's see-- can we find
a strategy for player 1

00:10:30.090 --> 00:10:32.183 align:middle line:84%
that makes this into
a Nash equilibrium?

00:10:32.183 --> 00:10:33.350 align:middle line:90%
So let's think this through.

00:10:33.350 --> 00:10:36.170 align:middle line:84%
If you were player 1, if
you were the proposer,

00:10:36.170 --> 00:10:39.410 align:middle line:84%
and you expected or you
believed that the responder was

00:10:39.410 --> 00:10:41.210 align:middle line:84%
going to play in
this way, how much

00:10:41.210 --> 00:10:45.490 align:middle line:90%
would you offer the responder?

00:10:45.490 --> 00:10:46.190 align:middle line:90%
Yeah, over here?

00:10:46.190 --> 00:10:46.690 align:middle line:90%
AUDIENCE: 2.

00:10:46.690 --> 00:10:48.210 align:middle line:90%
IAN BALL: 2, great.

00:10:48.210 --> 00:10:51.330 align:middle line:84%
So we're going to have
exactly S2 equals--

00:10:51.330 --> 00:10:52.510 align:middle line:90%
S1 equals 2.

00:10:52.510 --> 00:10:53.465 align:middle line:90%
That's confusing.

00:10:53.465 --> 00:10:54.590 align:middle line:90%
And explain your reasoning.

00:10:54.590 --> 00:10:55.507 align:middle line:90%
Why would you offer 2?

00:10:55.507 --> 00:10:58.590 align:middle line:84%
AUDIENCE: If you offer
lower, both of you get 0.

00:10:58.590 --> 00:11:00.430 align:middle line:84%
If you offer more,
then you get nothing.

00:11:00.430 --> 00:11:02.590 align:middle line:90%
So [INAUDIBLE].

00:11:02.590 --> 00:11:03.690 align:middle line:90%
IAN BALL: Great.

00:11:03.690 --> 00:11:05.770 align:middle line:84%
So another way of saying
that-- exactly right--

00:11:05.770 --> 00:11:10.050 align:middle line:84%
is, I'm making the lowest
offer that will be accepted.

00:11:10.050 --> 00:11:12.370 align:middle line:84%
I don't want to offer any
less because there I'm

00:11:12.370 --> 00:11:14.570 align:middle line:90%
clearly doing--

00:11:14.570 --> 00:11:17.170 align:middle line:84%
if I offer them less,
it gets rejected.

00:11:17.170 --> 00:11:21.050 align:middle line:84%
And if I offer them
more, it would be--

00:11:21.050 --> 00:11:24.090 align:middle line:84%
it will be accepted, but
it will be worse for me.

00:11:24.090 --> 00:11:28.290 align:middle line:84%
So just to keep track,
let's say these offers--

00:11:28.290 --> 00:11:32.730 align:middle line:84%
these offers are
better for the proposer

00:11:32.730 --> 00:11:34.810 align:middle line:84%
if they're accepted
because I'm offering

00:11:34.810 --> 00:11:37.510 align:middle line:84%
less money to the respondent,
but they're not accepted.

00:11:37.510 --> 00:11:42.610 align:middle line:90%


00:11:42.610 --> 00:11:44.240 align:middle line:84%
So when I say better
for the proposer,

00:11:44.240 --> 00:11:46.440 align:middle line:84%
I mean better for the
proposer if they're accepted.

00:11:46.440 --> 00:11:49.020 align:middle line:84%
The problem with these
is they're not accepted.

00:11:49.020 --> 00:11:52.800 align:middle line:84%
And then these higher offers
are worse for the proposer.

00:11:52.800 --> 00:11:56.380 align:middle line:90%


00:11:56.380 --> 00:11:58.640 align:middle line:90%
So I make the lowest offer.

00:11:58.640 --> 00:12:02.020 align:middle line:84%
That is the offer that's
best for me if accepted.

00:12:02.020 --> 00:12:04.860 align:middle line:84%
And I find the lowest one that's
actually going to be accepted.

00:12:04.860 --> 00:12:08.040 align:middle line:84%
So this indeed is going
to be a Nash equilibrium.

00:12:08.040 --> 00:12:10.860 align:middle line:90%


00:12:10.860 --> 00:12:12.400 align:middle line:90%
And let's check this formally.

00:12:12.400 --> 00:12:17.420 align:middle line:84%
Let's check that neither player
has a profitable deviation.

00:12:17.420 --> 00:12:23.660 align:middle line:84%
If player 1 is offering 2,
let's check that player 2 cannot

00:12:23.660 --> 00:12:25.140 align:middle line:90%
profitably deviate.

00:12:25.140 --> 00:12:29.500 align:middle line:84%
Well, if you're offering me 2,
there's only two possibilities.

00:12:29.500 --> 00:12:33.580 align:middle line:84%
I accept the offer, and I
get 2, or I reject the offer,

00:12:33.580 --> 00:12:34.682 align:middle line:90%
and I get 0.

00:12:34.682 --> 00:12:36.140 align:middle line:84%
So certainly I'm
behaving optimally

00:12:36.140 --> 00:12:38.905 align:middle line:90%
by accepting the offer.

00:12:38.905 --> 00:12:40.280 align:middle line:84%
Now let's go the
other direction.

00:12:40.280 --> 00:12:41.863 align:middle line:84%
This is what we just
reasoned through.

00:12:41.863 --> 00:12:44.820 align:middle line:84%
Given that this is the way
that player 2, the responder,

00:12:44.820 --> 00:12:49.120 align:middle line:84%
is playing, the best that player
1 can possibly do is to offer 2,

00:12:49.120 --> 00:12:53.180 align:middle line:84%
and that means keep 1, because
the only way they could

00:12:53.180 --> 00:12:56.100 align:middle line:84%
get more than 1 is if they
made one of these offers

00:12:56.100 --> 00:12:57.200 align:middle line:90%
and it was accepted.

00:12:57.200 --> 00:12:59.020 align:middle line:84%
But that's impossible
given the strategy

00:12:59.020 --> 00:13:01.340 align:middle line:90%
that the responder is using.

00:13:01.340 --> 00:13:03.180 align:middle line:84%
So we found one
Nash equilibrium.

00:13:03.180 --> 00:13:05.218 align:middle line:84%
There's a lot of Nash
equilibrium in this game.

00:13:05.218 --> 00:13:07.260 align:middle line:84%
But there's something
about this Nash equilibrium

00:13:07.260 --> 00:13:09.900 align:middle line:90%
that seems wrong.

00:13:09.900 --> 00:13:11.862 align:middle line:90%
Or maybe it seems problematic.

00:13:11.862 --> 00:13:14.320 align:middle line:84%
So maybe I'll say, what's wrong
with this Nash equilibrium?

00:13:14.320 --> 00:13:21.460 align:middle line:90%


00:13:21.460 --> 00:13:24.020 align:middle line:84%
And this is exactly what
we want to capture today.

00:13:24.020 --> 00:13:26.960 align:middle line:84%
So does anything
feel off to you?

00:13:26.960 --> 00:13:30.360 align:middle line:84%
Does it feel like
there's a problem here?

00:13:30.360 --> 00:13:31.160 align:middle line:90%
Yeah, in the front.

00:13:31.160 --> 00:13:33.700 align:middle line:84%
AUDIENCE: It seems like
one person is always

00:13:33.700 --> 00:13:34.520 align:middle line:90%
beating the other.

00:13:34.520 --> 00:13:37.780 align:middle line:84%
IAN BALL: OK, so that's true,
but some games are unfair.

00:13:37.780 --> 00:13:39.035 align:middle line:90%
So I think that's true.

00:13:39.035 --> 00:13:40.160 align:middle line:90%
Maybe you're getting at it.

00:13:40.160 --> 00:13:42.130 align:middle line:84%
But I would say let's add
a little bit more to that.

00:13:42.130 --> 00:13:44.090 align:middle line:84%
Yeah, so it is true that one
player is always doing better,

00:13:44.090 --> 00:13:46.670 align:middle line:84%
but I can certainly write down
games where one player always

00:13:46.670 --> 00:13:47.290 align:middle line:90%
loses.

00:13:47.290 --> 00:13:49.790 align:middle line:84%
It doesn't necessarily mean
they're playing irrationally.

00:13:49.790 --> 00:13:50.850 align:middle line:90%
Any other thoughts in the front?

00:13:50.850 --> 00:13:51.190 align:middle line:90%
Yeah?

00:13:51.190 --> 00:13:52.790 align:middle line:84%
AUDIENCE: The responders
should [INAUDIBLE] someone

00:13:52.790 --> 00:13:54.230 align:middle line:90%
that's positive utility.

00:13:54.230 --> 00:13:55.310 align:middle line:90%
IAN BALL: Great.

00:13:55.310 --> 00:13:59.330 align:middle line:84%
So this information set
seems a bit puzzling.

00:13:59.330 --> 00:14:03.990 align:middle line:84%
So this says, if I'm offered 1,
there are two choices for me.

00:14:03.990 --> 00:14:08.430 align:middle line:84%
I either accept 1, and I get
my $1, or I reject the offer,

00:14:08.430 --> 00:14:10.150 align:middle line:90%
and I get 0.

00:14:10.150 --> 00:14:12.210 align:middle line:84%
So it seems that in
this contingency,

00:14:12.210 --> 00:14:15.110 align:middle line:84%
accepting is strictly
better than rejecting.

00:14:15.110 --> 00:14:19.250 align:middle line:84%
And if you're not motivated by
$1, let's call it $1 million.

00:14:19.250 --> 00:14:21.390 align:middle line:84%
Then it makes it clear,
I might be unhappy

00:14:21.390 --> 00:14:24.510 align:middle line:84%
that you're only giving me 1
million out of the 3 million.

00:14:24.510 --> 00:14:28.910 align:middle line:84%
But if my choice is take the 1
million or reject it and get 0,

00:14:28.910 --> 00:14:31.430 align:middle line:84%
it seems like accepting
is much better.

00:14:31.430 --> 00:14:34.090 align:middle line:84%
But why is this still consistent
with Nash equilibrium?

00:14:34.090 --> 00:14:35.110 align:middle line:90%
So I agree with you.

00:14:35.110 --> 00:14:38.190 align:middle line:84%
It seems like clearly this
is a-- we might call this

00:14:38.190 --> 00:14:39.090 align:middle line:90%
a "mistake."

00:14:39.090 --> 00:14:41.870 align:middle line:90%


00:14:41.870 --> 00:14:45.892 align:middle line:84%
Or we might call
this "suboptimal."

00:14:45.892 --> 00:14:47.350 align:middle line:84%
But I thought Nash
equilibrium said

00:14:47.350 --> 00:14:48.950 align:middle line:84%
that players are playing
optimal given the way

00:14:48.950 --> 00:14:50.117 align:middle line:90%
their opponents are playing.

00:14:50.117 --> 00:14:51.130 align:middle line:90%
So why is this allowed?

00:14:51.130 --> 00:14:54.410 align:middle line:84%
It is a Nash equilibrium, but
someone's playing suboptimally.

00:14:54.410 --> 00:14:57.610 align:middle line:90%
So what's happening?

00:14:57.610 --> 00:15:02.310 align:middle line:90%


00:15:02.310 --> 00:15:02.870 align:middle line:90%
Yeah?

00:15:02.870 --> 00:15:04.510 align:middle line:84%
AUDIENCE: Because we're
basing it off of the belief

00:15:04.510 --> 00:15:05.710 align:middle line:90%
of how they're playing.

00:15:05.710 --> 00:15:06.510 align:middle line:90%
IAN BALL: Exactly.

00:15:06.510 --> 00:15:11.870 align:middle line:84%
So player 2 believes that player
1 is making an offer of 2.

00:15:11.870 --> 00:15:14.030 align:middle line:84%
If I believe that player
1 is making an offer of 2,

00:15:14.030 --> 00:15:16.990 align:middle line:84%
I'm never going to
reach this contingency.

00:15:16.990 --> 00:15:19.470 align:middle line:84%
And because I'm never going
to reach this contingency, how

00:15:19.470 --> 00:15:22.710 align:middle line:84%
I play this contingency
doesn't affect my payoff given

00:15:22.710 --> 00:15:24.670 align:middle line:84%
the strategy of
the other player.

00:15:24.670 --> 00:15:28.910 align:middle line:84%
So what we've identified is kind
of a crucial issue with Nash

00:15:28.910 --> 00:15:33.070 align:middle line:84%
equilibrium, maybe a
limitation of Nash equilibrium,

00:15:33.070 --> 00:15:46.360 align:middle line:84%
that Nash equilibrium does
not require optimal play

00:15:46.360 --> 00:15:48.220 align:middle line:90%
at unreached contingencies.

00:15:48.220 --> 00:15:50.880 align:middle line:90%


00:15:50.880 --> 00:15:53.520 align:middle line:84%
We could be a little
more precise--

00:15:53.520 --> 00:15:55.040 align:middle line:84%
contingencies that
are not reached

00:15:55.040 --> 00:15:56.660 align:middle line:84%
based on the play
of the other player.

00:15:56.660 --> 00:15:58.320 align:middle line:84%
But I'll be a
little vague here--

00:15:58.320 --> 00:16:01.060 align:middle line:90%
"at unreached contingencies."

00:16:01.060 --> 00:16:08.160 align:middle line:90%


00:16:08.160 --> 00:16:12.160 align:middle line:84%
And if we want to dig a little
deeper, when we analyze the Nash

00:16:12.160 --> 00:16:14.880 align:middle line:84%
equilibrium of this game,
we converted this game

00:16:14.880 --> 00:16:17.320 align:middle line:90%
into a strategic form.

00:16:17.320 --> 00:16:21.320 align:middle line:84%
And we said, well,
what player 2 does

00:16:21.320 --> 00:16:25.000 align:middle line:84%
is player 2 chooses a
complete contingent plan.

00:16:25.000 --> 00:16:28.400 align:middle line:84%
They just say, if I'm
offered 0, I'll reject.

00:16:28.400 --> 00:16:30.260 align:middle line:90%
If I'm offered 1, I'll reject.

00:16:30.260 --> 00:16:31.540 align:middle line:90%
If I'm offered 2, I'll accept.

00:16:31.540 --> 00:16:33.120 align:middle line:84%
And if I'm offered
3, I'll accept.

00:16:33.120 --> 00:16:37.000 align:middle line:84%
And then they form beliefs about
what player 1 is going to do.

00:16:37.000 --> 00:16:46.480 align:middle line:84%
So this reasoning of the
complete contingent plan,

00:16:46.480 --> 00:16:48.600 align:middle line:84%
in some sense it's
missing something.

00:16:48.600 --> 00:16:51.480 align:middle line:84%
If I think about the complete
contingent plan approach,

00:16:51.480 --> 00:16:56.320 align:middle line:84%
it's missing the fact that a
deviation might be observable.

00:16:56.320 --> 00:17:08.740 align:middle line:84%
So it doesn't capture the
observability of deviations.

00:17:08.740 --> 00:17:12.640 align:middle line:90%


00:17:12.640 --> 00:17:13.819 align:middle line:90%
What do I mean by that?

00:17:13.819 --> 00:17:16.319 align:middle line:84%
Well, the logic of
Nash equilibrium

00:17:16.319 --> 00:17:19.680 align:middle line:84%
says, I have a belief
that my opponent

00:17:19.680 --> 00:17:21.378 align:middle line:90%
is playing this strategy.

00:17:21.378 --> 00:17:23.920 align:middle line:84%
And given that belief, I'm going
to choose my contingent plan

00:17:23.920 --> 00:17:24.597 align:middle line:90%
optimally.

00:17:24.597 --> 00:17:25.180 align:middle line:90%
And that's it.

00:17:25.180 --> 00:17:28.400 align:middle line:84%
I have my contingent plan,
and then it gets executed.

00:17:28.400 --> 00:17:31.320 align:middle line:84%
But if player 1 is
going to deviate,

00:17:31.320 --> 00:17:34.000 align:middle line:84%
well, I'm actually going to get
to observe that because if they

00:17:34.000 --> 00:17:36.770 align:middle line:90%
offer me 1, I get to see that.

00:17:36.770 --> 00:17:39.970 align:middle line:84%
So what this strategic form
reduction of the dynamic game

00:17:39.970 --> 00:17:43.530 align:middle line:84%
seems to be missing is the
fact that if player 1 were

00:17:43.530 --> 00:17:46.450 align:middle line:84%
to deviate and
play 1, well, now I

00:17:46.450 --> 00:17:48.420 align:middle line:84%
know that they're not
playing 2 anymore.

00:17:48.420 --> 00:17:50.170 align:middle line:84%
But the complete
contingent plan reasoning

00:17:50.170 --> 00:17:53.590 align:middle line:84%
tells me, well, my play,
even at this contingency,

00:17:53.590 --> 00:17:57.770 align:middle line:84%
is governed by my belief that
player 1 is always offering 2.

00:17:57.770 --> 00:17:59.930 align:middle line:84%
And it's ignoring the
fact that if we actually

00:17:59.930 --> 00:18:03.010 align:middle line:84%
reach this contingency, I
learn that my opponent has

00:18:03.010 --> 00:18:05.370 align:middle line:84%
deviated and is not playing
according to my belief.

00:18:05.370 --> 00:18:07.930 align:middle line:84%
So the fact that information
arrives over time

00:18:07.930 --> 00:18:10.170 align:middle line:84%
is totally missed by
the strategic form

00:18:10.170 --> 00:18:14.130 align:middle line:84%
because the whole tree and
the extensive form game

00:18:14.130 --> 00:18:17.170 align:middle line:84%
are missing from the
strategic form representation.

00:18:17.170 --> 00:18:18.610 align:middle line:84%
And that's going
to be what we're

00:18:18.610 --> 00:18:22.050 align:middle line:84%
going to try to study more
formally and more rigorously

00:18:22.050 --> 00:18:22.850 align:middle line:90%
today.

00:18:22.850 --> 00:18:26.690 align:middle line:84%
So today, we're going
to define something

00:18:26.690 --> 00:18:28.510 align:middle line:90%
called backward induction.

00:18:28.510 --> 00:18:35.330 align:middle line:90%


00:18:35.330 --> 00:18:37.570 align:middle line:84%
And the basic idea is
that backward induction

00:18:37.570 --> 00:18:40.010 align:middle line:84%
is going to require
optimal play even

00:18:40.010 --> 00:18:41.590 align:middle line:90%
at unreached contingencies--

00:18:41.590 --> 00:18:54.955 align:middle line:90%


00:18:54.955 --> 00:18:56.830 align:middle line:84%
obviously, at reached
contingencies, as well.

00:18:56.830 --> 00:18:59.530 align:middle line:84%
But what's new about it is
that it requires optimal play

00:18:59.530 --> 00:19:01.190 align:middle line:90%
at unreached contingencies.

00:19:01.190 --> 00:19:06.715 align:middle line:90%


00:19:06.715 --> 00:19:08.090 align:middle line:84%
And I want to make
one more point

00:19:08.090 --> 00:19:09.770 align:middle line:84%
about this, that what
we're doing today

00:19:09.770 --> 00:19:12.310 align:middle line:84%
is going to depend crucially
on the extensive form.

00:19:12.310 --> 00:19:19.310 align:middle line:90%


00:19:19.310 --> 00:19:21.410 align:middle line:84%
So, so far our
approach in the class

00:19:21.410 --> 00:19:23.690 align:middle line:84%
has been to start with
the extensive form

00:19:23.690 --> 00:19:26.170 align:middle line:84%
to try to capture the
application we're studying,

00:19:26.170 --> 00:19:29.570 align:middle line:84%
reduce it to the strategic form,
and then do all our analysis

00:19:29.570 --> 00:19:32.100 align:middle line:90%
within the strategic form.

00:19:32.100 --> 00:19:33.860 align:middle line:84%
And so far what
we looked at, Nash

00:19:33.860 --> 00:19:36.420 align:middle line:84%
equilibrium, these
various solution concepts,

00:19:36.420 --> 00:19:39.458 align:middle line:84%
rationalizability-- only
dependent on the strategic form.

00:19:39.458 --> 00:19:41.500 align:middle line:84%
But today, we're going to
take the extensive form

00:19:41.500 --> 00:19:42.247 align:middle line:90%
more seriously.

00:19:42.247 --> 00:19:44.580 align:middle line:84%
And we're going to argue that
something might be missing

00:19:44.580 --> 00:19:48.940 align:middle line:84%
when we reduce the extensive
form to the strategic form.

00:19:48.940 --> 00:19:51.940 align:middle line:84%
So let's see how this
algorithm works by looking

00:19:51.940 --> 00:19:56.120 align:middle line:90%
at another simple example.

00:19:56.120 --> 00:19:58.380 align:middle line:84%
Let's look at the
Boston game again.

00:19:58.380 --> 00:20:00.660 align:middle line:84%
But in this case,
the first player

00:20:00.660 --> 00:20:04.740 align:middle line:84%
chooses what sporting event to
go, and that move is observed.

00:20:04.740 --> 00:20:08.400 align:middle line:84%
So the Boston game
with observed moves.

00:20:08.400 --> 00:20:11.980 align:middle line:90%


00:20:11.980 --> 00:20:13.662 align:middle line:90%
So what happens, we have--

00:20:13.662 --> 00:20:15.620 align:middle line:84%
maybe I'll draw it-- we
can draw it either way.

00:20:15.620 --> 00:20:16.620 align:middle line:90%
I'll draw it up here.

00:20:16.620 --> 00:20:20.300 align:middle line:84%
We have player 1 first
chooses to go to the Celtics

00:20:20.300 --> 00:20:23.580 align:middle line:90%
game or the Red Sox game.

00:20:23.580 --> 00:20:28.300 align:middle line:84%
And then player 2 observes
whether player 1 has chosen

00:20:28.300 --> 00:20:29.680 align:middle line:90%
the Celtics or the Red Sox.

00:20:29.680 --> 00:20:31.720 align:middle line:84%
And then they choose
Celtics or Red Sox.

00:20:31.720 --> 00:20:37.380 align:middle line:90%


00:20:37.380 --> 00:20:40.060 align:middle line:84%
So the original version of
this game that we studied

00:20:40.060 --> 00:20:42.620 align:middle line:84%
was a simultaneous-move
version of this game.

00:20:42.620 --> 00:20:44.560 align:middle line:84%
And in the
simultaneous-move version,

00:20:44.560 --> 00:20:47.140 align:middle line:84%
we would represent that
by putting these two nodes

00:20:47.140 --> 00:20:48.860 align:middle line:90%
in the same information set.

00:20:48.860 --> 00:20:51.940 align:middle line:84%
Now we're studying a different
version, where player 1's move

00:20:51.940 --> 00:20:53.502 align:middle line:90%
is observed by player 2.

00:20:53.502 --> 00:20:54.960 align:middle line:84%
And now let's
remember our payoffs.

00:20:54.960 --> 00:20:56.335 align:middle line:84%
I think the
convention we've used

00:20:56.335 --> 00:20:59.420 align:middle line:84%
is that player 1 prefers
Celtics to Red Sox.

00:20:59.420 --> 00:21:02.460 align:middle line:84%
So if they both go to the
Celtics game, it's 2 1.

00:21:02.460 --> 00:21:06.620 align:middle line:84%
If they both go to Red Sox,
it's 1 2, and then 0 0, and 0 0.

00:21:06.620 --> 00:21:09.860 align:middle line:84%
So when I write extensive
form games this way,

00:21:09.860 --> 00:21:11.340 align:middle line:84%
I'll put the first
player's payoff

00:21:11.340 --> 00:21:14.160 align:middle line:84%
on top instead of to the left,
but it has the same meaning.

00:21:14.160 --> 00:21:17.640 align:middle line:84%
Instead of going 0,
comma 0, or 0, comma 1,

00:21:17.640 --> 00:21:20.580 align:middle line:90%
I'll just do 2 and then 1.

00:21:20.580 --> 00:21:25.440 align:middle line:84%
So first let's represent
this game in strategic form.

00:21:25.440 --> 00:21:31.070 align:middle line:90%


00:21:31.070 --> 00:21:33.110 align:middle line:84%
So we first have to
understand the strategies

00:21:33.110 --> 00:21:35.150 align:middle line:90%
for the two players.

00:21:35.150 --> 00:21:38.390 align:middle line:84%
So player 1's strategy
set is pretty simple.

00:21:38.390 --> 00:21:40.530 align:middle line:84%
They're just choosing
Celtics or Red Sox.

00:21:40.530 --> 00:21:45.767 align:middle line:84%
So we just have C and R.
But player 2's strategy set

00:21:45.767 --> 00:21:46.850 align:middle line:90%
is a bit more complicated.

00:21:46.850 --> 00:21:51.510 align:middle line:84%
Just like we had before, player
2 has two information sets.

00:21:51.510 --> 00:21:53.110 align:middle line:84%
So their strategy
should be a vector

00:21:53.110 --> 00:21:56.390 align:middle line:84%
with two components,
one component saying

00:21:56.390 --> 00:21:58.630 align:middle line:84%
what they do here and
one component saying

00:21:58.630 --> 00:21:59.730 align:middle line:90%
what they do here.

00:21:59.730 --> 00:22:01.590 align:middle line:84%
So we can write
player 2's strategies

00:22:01.590 --> 00:22:07.910 align:middle line:84%
as CC, CR, RC, and
RR, where the meaning

00:22:07.910 --> 00:22:11.070 align:middle line:84%
is that we've agreed that we're
going to order our information

00:22:11.070 --> 00:22:13.030 align:middle line:90%
sets from left to right.

00:22:13.030 --> 00:22:15.950 align:middle line:84%
So the first letter
says what player 2

00:22:15.950 --> 00:22:18.910 align:middle line:90%
does at this information set.

00:22:18.910 --> 00:22:21.190 align:middle line:84%
And the second letter
says what player 2

00:22:21.190 --> 00:22:24.430 align:middle line:90%
does at this information set.

00:22:24.430 --> 00:22:26.150 align:middle line:84%
So now we've defined
the strategies.

00:22:26.150 --> 00:22:30.030 align:middle line:84%
We now need to write
out the extensive form--

00:22:30.030 --> 00:22:31.950 align:middle line:90%
sorry, the strategic form.

00:22:31.950 --> 00:22:33.750 align:middle line:90%
So we have CR.

00:22:33.750 --> 00:22:39.410 align:middle line:90%
And we have CC, CR, RC, RR.

00:22:39.410 --> 00:22:42.910 align:middle line:90%


00:22:42.910 --> 00:22:48.430 align:middle line:84%
So now we want to fill
in the payoffs here.

00:22:48.430 --> 00:22:53.150 align:middle line:84%
So if player 1 goes
to the Celtics game,

00:22:53.150 --> 00:22:55.010 align:middle line:84%
when we're trying
to compute payoffs,

00:22:55.010 --> 00:22:58.150 align:middle line:84%
what matters is the
first entry of player 2's

00:22:58.150 --> 00:23:00.950 align:middle line:84%
strategy because the
first entry of player 2's

00:23:00.950 --> 00:23:04.470 align:middle line:84%
strategy precisely
says what player 2 does

00:23:04.470 --> 00:23:08.310 align:middle line:84%
after they observe that player
1 goes to the Celtics game.

00:23:08.310 --> 00:23:11.270 align:middle line:84%
So under these two strategies,
they go to the Celtics game,

00:23:11.270 --> 00:23:11.990 align:middle line:90%
as well.

00:23:11.990 --> 00:23:17.110 align:middle line:84%
And therefore the
payoff is 2, 1; 2, 1.

00:23:17.110 --> 00:23:19.030 align:middle line:84%
Under either of
these strategies,

00:23:19.030 --> 00:23:20.990 align:middle line:84%
player 1 goes to
the Celtics game.

00:23:20.990 --> 00:23:24.115 align:middle line:84%
But player 2 responds by
going to the Red Sox game.

00:23:24.115 --> 00:23:25.490 align:middle line:84%
They're not at
the game together.

00:23:25.490 --> 00:23:26.940 align:middle line:90%
And they both get a payoff of 0.

00:23:26.940 --> 00:23:32.560 align:middle line:90%


00:23:32.560 --> 00:23:35.920 align:middle line:84%
Now let's look at what happens
if player 1 goes to the Red Sox

00:23:35.920 --> 00:23:37.280 align:middle line:90%
game.

00:23:37.280 --> 00:23:39.680 align:middle line:84%
Now it's the second
component of the strategy

00:23:39.680 --> 00:23:42.000 align:middle line:90%
that determines the payoffs.

00:23:42.000 --> 00:23:44.960 align:middle line:84%
So when do we both go
to the Red Sox game?

00:23:44.960 --> 00:23:47.530 align:middle line:84%
It's actually going to be
under these two strategies

00:23:47.530 --> 00:23:49.280 align:middle line:84%
because these are the
two strategies where

00:23:49.280 --> 00:23:53.680 align:middle line:84%
player 2 goes to the Red Sox
game after player 1 does.

00:23:53.680 --> 00:23:58.680 align:middle line:84%
So we're going to
have 1, 2, and 1, 2.

00:23:58.680 --> 00:24:03.800 align:middle line:84%
And then over here, we're
going to have 0, 0 and 0, 0.

00:24:03.800 --> 00:24:08.060 align:middle line:84%
So let's now try to compute the
Nash equilibria of this game.

00:24:08.060 --> 00:24:11.000 align:middle line:84%
We're going to use
our standard trick--

00:24:11.000 --> 00:24:13.000 align:middle line:90%
fixing a strategy of player 2.

00:24:13.000 --> 00:24:14.038 align:middle line:90%
Oh, yes?

00:24:14.038 --> 00:24:16.080 align:middle line:84%
AUDIENCE: Could you clarify
what the first letter

00:24:16.080 --> 00:24:17.340 align:middle line:90%
means [? in ?] players too?

00:24:17.340 --> 00:24:18.465 align:middle line:90%
IAN BALL: Yeah, absolutely.

00:24:18.465 --> 00:24:23.520 align:middle line:84%
So this means-- so let me
call these information sets

00:24:23.520 --> 00:24:31.080 align:middle line:90%
maybe Ia and Ib.

00:24:31.080 --> 00:24:33.182 align:middle line:90%
This is the first--

00:24:33.182 --> 00:24:35.640 align:middle line:84%
I'll use a so we don't get
confused with the first player--

00:24:35.640 --> 00:24:37.880 align:middle line:84%
the first information
set of player 2.

00:24:37.880 --> 00:24:40.600 align:middle line:84%
And this is the second
information set of player 2.

00:24:40.600 --> 00:24:43.680 align:middle line:90%
And this is what they do at Ia.

00:24:43.680 --> 00:24:46.940 align:middle line:90%
And this is what they do at Ib.

00:24:46.940 --> 00:24:49.060 align:middle line:84%
So in words-- let me
use this strategy.

00:24:49.060 --> 00:24:51.280 align:middle line:84%
This is a better example
since it's not constant.

00:24:51.280 --> 00:24:53.543 align:middle line:84%
At the first information
set, I play C.

00:24:53.543 --> 00:24:54.960 align:middle line:84%
And at the second
information set,

00:24:54.960 --> 00:24:59.360 align:middle line:84%
I play R. That's my
complete contingent plan.

00:24:59.360 --> 00:25:03.480 align:middle line:84%
So now let's try to compute the
Nash equilibria of this game.

00:25:03.480 --> 00:25:06.720 align:middle line:84%
So as usual, we're going to
fix the strategy of player 2

00:25:06.720 --> 00:25:08.640 align:middle line:84%
and think about how
well player 1 does

00:25:08.640 --> 00:25:10.300 align:middle line:90%
with their different strategies.

00:25:10.300 --> 00:25:12.340 align:middle line:84%
So given that
player 2 does this,

00:25:12.340 --> 00:25:16.360 align:middle line:84%
player 1 is better off choosing
C because 2 is greater than 0.

00:25:16.360 --> 00:25:21.720 align:middle line:84%
Given here, player 2
is better off here.

00:25:21.720 --> 00:25:23.490 align:middle line:90%
Here, it doesn't matter.

00:25:23.490 --> 00:25:25.890 align:middle line:90%
And here, we go and get this.

00:25:25.890 --> 00:25:27.690 align:middle line:84%
So I'm just going
column by column,

00:25:27.690 --> 00:25:30.690 align:middle line:84%
fixing player 2's strategy
and computing player 1's best

00:25:30.690 --> 00:25:32.808 align:middle line:90%
response.

00:25:32.808 --> 00:25:34.350 align:middle line:84%
Now I'm going to do
it the other way.

00:25:34.350 --> 00:25:36.330 align:middle line:84%
I'm going to fix
player 1's strategy

00:25:36.330 --> 00:25:38.590 align:middle line:84%
and compute player
2's best response.

00:25:38.590 --> 00:25:43.950 align:middle line:84%
So I'm going to
get this and this.

00:25:43.950 --> 00:25:47.930 align:middle line:90%


00:25:47.930 --> 00:25:52.450 align:middle line:84%
So here, I get three
Nash equilibria.

00:25:52.450 --> 00:25:55.890 align:middle line:84%
Remember, Nash equilibrium
can be visualized here

00:25:55.890 --> 00:25:59.530 align:middle line:84%
by looking for a cell that
has both numbers underlined.

00:25:59.530 --> 00:26:02.890 align:middle line:84%
So we have three
Nash equilibria.

00:26:02.890 --> 00:26:04.470 align:middle line:84%
Player 1 goes to
the Celtics game.

00:26:04.470 --> 00:26:07.250 align:middle line:84%
And player 2 always
goes to Celtics game.

00:26:07.250 --> 00:26:08.950 align:middle line:84%
Player 2 goes to
the Red Sox game,

00:26:08.950 --> 00:26:11.570 align:middle line:84%
and player 2 always goes
to the Red Sox game.

00:26:11.570 --> 00:26:14.230 align:middle line:84%
And then this one, where player
2 goes to the Celtics game,

00:26:14.230 --> 00:26:16.430 align:middle line:84%
and what player 2 does
depends on what they observe.

00:26:16.430 --> 00:26:18.650 align:middle line:84%
So they go to the Celtics game
if player 1 goes to the Celtics

00:26:18.650 --> 00:26:20.430 align:middle line:84%
game, but they go
to the Red Sox game

00:26:20.430 --> 00:26:22.070 align:middle line:84%
if player 2 goes to
the Red Sox game.

00:26:22.070 --> 00:26:23.810 align:middle line:84%
So we have three
Nash equilibria.

00:26:23.810 --> 00:26:25.170 align:middle line:90%
Which of these--

00:26:25.170 --> 00:26:33.930 align:middle line:84%
I'll write this-- which of these
seems most compelling to you?

00:26:33.930 --> 00:26:37.458 align:middle line:84%
Which of these seems
the most reasonable?

00:26:37.458 --> 00:26:38.750 align:middle line:90%
Or do they all seem reasonable?

00:26:38.750 --> 00:26:39.870 align:middle line:84%
Or do none of them
seem reasonable?

00:26:39.870 --> 00:26:40.990 align:middle line:90%
I guess I gave it away.

00:26:40.990 --> 00:26:41.490 align:middle line:90%
Yeah?

00:26:41.490 --> 00:26:44.450 align:middle line:90%
AUDIENCE: [INAUDIBLE] C CR.

00:26:44.450 --> 00:26:45.850 align:middle line:90%
IAN BALL: OK, this one.

00:26:45.850 --> 00:26:47.290 align:middle line:90%
And tell me why.

00:26:47.290 --> 00:26:51.090 align:middle line:84%
AUDIENCE: I mean, you're getting
some sort of payoff either way

00:26:51.090 --> 00:26:53.310 align:middle line:84%
or some positive
payoff either way,

00:26:53.310 --> 00:26:57.370 align:middle line:84%
whereas the other ones
[INAUDIBLE] always [INAUDIBLE]

00:26:57.370 --> 00:27:00.003 align:middle line:84%
the first player doesn't go to
the Celtics game [INAUDIBLE].

00:27:00.003 --> 00:27:00.670 align:middle line:90%
IAN BALL: Right.

00:27:00.670 --> 00:27:02.212 align:middle line:84%
So I think what
you're thinking about

00:27:02.212 --> 00:27:05.570 align:middle line:84%
is exactly, even at the
contingency that's not reached,

00:27:05.570 --> 00:27:08.810 align:middle line:84%
this second player
is doing pretty well.

00:27:08.810 --> 00:27:13.690 align:middle line:84%
So the issue, if we look at
the first one or the last one,

00:27:13.690 --> 00:27:17.930 align:middle line:84%
it is a Nash equilibrium, but
it involves player 2 playing

00:27:17.930 --> 00:27:20.570 align:middle line:84%
suboptimally at
some contingency,

00:27:20.570 --> 00:27:23.850 align:middle line:84%
namely in this Nash
equilibrium, player 2

00:27:23.850 --> 00:27:25.410 align:middle line:84%
goes to the Celtics
game even when

00:27:25.410 --> 00:27:28.010 align:middle line:84%
they see that player 1 has
chosen the Red Sox game.

00:27:28.010 --> 00:27:30.310 align:middle line:84%
That's suboptimal
play because they'd

00:27:30.310 --> 00:27:31.810 align:middle line:84%
rather join them
at the Red Sox game

00:27:31.810 --> 00:27:35.210 align:middle line:84%
than be all alone
at the Celtics game.

00:27:35.210 --> 00:27:37.870 align:middle line:84%
And similarly, this
strategy profile,

00:27:37.870 --> 00:27:41.570 align:middle line:84%
while it is a Nash equilibrium,
involves suboptimal play

00:27:41.570 --> 00:27:44.930 align:middle line:84%
at the first contingency
because player 2 observes

00:27:44.930 --> 00:27:47.250 align:middle line:84%
that player 1 has gone
to the Celtics game,

00:27:47.250 --> 00:27:49.950 align:middle line:84%
and they've responded not by
going to the Celtics game,

00:27:49.950 --> 00:27:51.810 align:middle line:84%
but by going to
the Red Sox game.

00:27:51.810 --> 00:27:54.730 align:middle line:84%
So each of these
involves suboptimal play

00:27:54.730 --> 00:27:56.410 align:middle line:90%
at unreached contingencies.

00:27:56.410 --> 00:27:58.490 align:middle line:84%
And it's only this
Nash equilibrium

00:27:58.490 --> 00:28:02.090 align:middle line:84%
that seems to have this special
property of optimal play

00:28:02.090 --> 00:28:03.850 align:middle line:90%
at every contingency.

00:28:03.850 --> 00:28:08.090 align:middle line:84%
So let's see how we could
have tried to identify this.

00:28:08.090 --> 00:28:09.970 align:middle line:84%
What algorithm
could we have used?

00:28:09.970 --> 00:28:12.350 align:middle line:84%
If I have colored
chalk-- maybe not.

00:28:12.350 --> 00:28:14.370 align:middle line:90%
So I'll just highlight it.

00:28:14.370 --> 00:28:16.590 align:middle line:84%
Well, it's pretty intuitive
to work backwards.

00:28:16.590 --> 00:28:18.660 align:middle line:84%
And I think this is how
most people approach

00:28:18.660 --> 00:28:20.860 align:middle line:90%
problems like this.

00:28:20.860 --> 00:28:22.800 align:middle line:84%
Let's analyze this
working backwards.

00:28:22.800 --> 00:28:25.660 align:middle line:84%
Let's start here at these
last information sets

00:28:25.660 --> 00:28:28.980 align:middle line:84%
and say, how should
player 2 behave optimally

00:28:28.980 --> 00:28:30.797 align:middle line:84%
if this information
set is reached?

00:28:30.797 --> 00:28:31.880 align:middle line:90%
So we'll look at player 2.

00:28:31.880 --> 00:28:34.860 align:middle line:84%
We'll say, well, if we're here,
we're certainly better off

00:28:34.860 --> 00:28:36.700 align:middle line:90%
getting 1 than 0.

00:28:36.700 --> 00:28:41.540 align:middle line:84%
So I'm going to
choose this edge.

00:28:41.540 --> 00:28:43.780 align:middle line:84%
And then we'll come
over here and say, if I

00:28:43.780 --> 00:28:45.240 align:middle line:90%
reach this information set--

00:28:45.240 --> 00:28:46.560 align:middle line:90%
I don't know if we'll reach it.

00:28:46.560 --> 00:28:48.240 align:middle line:84%
I don't know how
player 1 is playing.

00:28:48.240 --> 00:28:51.460 align:middle line:84%
But let's suppose that we
get to this contingency.

00:28:51.460 --> 00:28:54.420 align:middle line:90%
Well, if I choose C, I get 0.

00:28:54.420 --> 00:28:56.060 align:middle line:90%
If I choose R, I get 2.

00:28:56.060 --> 00:28:59.020 align:middle line:90%
So R is better.

00:28:59.020 --> 00:29:01.780 align:middle line:84%
And then we can work our
way up a step further.

00:29:01.780 --> 00:29:04.020 align:middle line:84%
And now we can say, well,
suppose I'm player 1

00:29:04.020 --> 00:29:05.700 align:middle line:90%
and I'm choosing how to play.

00:29:05.700 --> 00:29:09.060 align:middle line:84%
I'm anticipating how
player 2 is going to play

00:29:09.060 --> 00:29:10.900 align:middle line:90%
at each of these contingencies.

00:29:10.900 --> 00:29:14.100 align:middle line:84%
So if I choose C, I
anticipate we'll go down here,

00:29:14.100 --> 00:29:15.980 align:middle line:90%
and I'll get a payoff of 2.

00:29:15.980 --> 00:29:19.300 align:middle line:84%
And if I choose R, I anticipate
player 2 will do this,

00:29:19.300 --> 00:29:21.300 align:middle line:90%
and I'll get a payoff of 1.

00:29:21.300 --> 00:29:25.220 align:middle line:84%
2 is higher than
1, so I'll go here.

00:29:25.220 --> 00:29:28.540 align:middle line:84%
And sure enough, we've exactly
identified this special Nash

00:29:28.540 --> 00:29:30.140 align:middle line:90%
equilibrium.

00:29:30.140 --> 00:29:31.620 align:middle line:84%
When you apply this
procedure, it's

00:29:31.620 --> 00:29:33.980 align:middle line:84%
very tempting to then--
you follow the path down

00:29:33.980 --> 00:29:36.740 align:middle line:84%
and you say, ah,
2 1 is the answer.

00:29:36.740 --> 00:29:38.820 align:middle line:90%
But no, 2 1 is just the payoff.

00:29:38.820 --> 00:29:41.440 align:middle line:84%
The answer that you're looking
for is a strategy profile.

00:29:41.440 --> 00:29:44.620 align:middle line:84%
The strategy profile
is player 1 plays C,

00:29:44.620 --> 00:29:47.340 align:middle line:84%
and player 2 makes
a contingent plan

00:29:47.340 --> 00:29:50.500 align:middle line:84%
to play C at this information
set and R at this information

00:29:50.500 --> 00:29:51.000 align:middle line:90%
set.

00:29:51.000 --> 00:30:02.900 align:middle line:90%


00:30:02.900 --> 00:30:05.440 align:middle line:84%
So now let's formalize
this procedure.

00:30:05.440 --> 00:30:05.940 align:middle line:90%
Yes?

00:30:05.940 --> 00:30:08.460 align:middle line:84%
AUDIENCE: Since this is
an [INAUDIBLE] version

00:30:08.460 --> 00:30:11.300 align:middle line:84%
of the [INAUDIBLE] game,
then would players here

00:30:11.300 --> 00:30:16.150 align:middle line:84%
have no reason to choose the 0
0 payoffs in order to convince

00:30:16.150 --> 00:30:18.690 align:middle line:90%
player 1 to switch strategies?

00:30:18.690 --> 00:30:22.630 align:middle line:84%
Or is that only in the
game where they don't

00:30:22.630 --> 00:30:24.210 align:middle line:90%
know each other's choices?

00:30:24.210 --> 00:30:27.430 align:middle line:84%
IAN BALL: Wait, so maybe
what you're getting at

00:30:27.430 --> 00:30:31.390 align:middle line:84%
is, let's look at player 1's
payoffs in these equilibria.

00:30:31.390 --> 00:30:34.190 align:middle line:84%
So we have this
equilibrium, 2, 1,

00:30:34.190 --> 00:30:37.710 align:middle line:84%
that gives-- it's an equilibrium
that gives the payoffs 2 and 1.

00:30:37.710 --> 00:30:39.550 align:middle line:84%
And we have another
Nash equilibrium

00:30:39.550 --> 00:30:41.550 align:middle line:90%
that gives the payoffs 1, 2.

00:30:41.550 --> 00:30:43.910 align:middle line:84%
So you might say,
if you're player 2,

00:30:43.910 --> 00:30:46.350 align:middle line:84%
you do better in
this equilibrium

00:30:46.350 --> 00:30:48.190 align:middle line:90%
than this equilibrium.

00:30:48.190 --> 00:30:51.430 align:middle line:84%
And indeed, this gets
at a central issue,

00:30:51.430 --> 00:30:56.750 align:middle line:84%
another way of thinking about
backward induction, that how--

00:30:56.750 --> 00:31:00.383 align:middle line:84%
let's suppose I'm player 2 and I
want to get to this equilibrium.

00:31:00.383 --> 00:31:01.050 align:middle line:90%
What would I do?

00:31:01.050 --> 00:31:03.350 align:middle line:84%
Maybe I would say
something like, look,

00:31:03.350 --> 00:31:05.210 align:middle line:84%
I'm always going to go
to the Red Sox game.

00:31:05.210 --> 00:31:06.390 align:middle line:90%
That's just who I am.

00:31:06.390 --> 00:31:09.550 align:middle line:84%
Whatever I see you do, I'm
going to go to the Red Sox game.

00:31:09.550 --> 00:31:12.590 align:middle line:84%
And it's almost like a threat
because the way I punish you

00:31:12.590 --> 00:31:14.610 align:middle line:84%
is by just saying, I'm
going to the Red Sox game

00:31:14.610 --> 00:31:16.590 align:middle line:90%
whatever you do.

00:31:16.590 --> 00:31:18.830 align:middle line:84%
The issue is that
another way of saying it

00:31:18.830 --> 00:31:21.370 align:middle line:84%
is that this involves
a non-credible threat.

00:31:21.370 --> 00:31:25.670 align:middle line:90%


00:31:25.670 --> 00:31:27.790 align:middle line:84%
So let's understand,
why might player 2

00:31:27.790 --> 00:31:28.950 align:middle line:90%
want to make this threat?

00:31:28.950 --> 00:31:32.470 align:middle line:84%
It would be great for player
2 if player 1 believes

00:31:32.470 --> 00:31:34.910 align:middle line:84%
that player 2 is always going
to go to the Red Sox game

00:31:34.910 --> 00:31:36.565 align:middle line:84%
because player 2
loves the Red Sox.

00:31:36.565 --> 00:31:39.190 align:middle line:84%
They love player one to believe
that because then player 1 will

00:31:39.190 --> 00:31:40.710 align:middle line:90%
choose the Red Sox themselves.

00:31:40.710 --> 00:31:42.750 align:middle line:84%
The problem is if player
1 thinks it through,

00:31:42.750 --> 00:31:44.250 align:middle line:84%
they're going to
say, wait a second,

00:31:44.250 --> 00:31:47.390 align:middle line:84%
you're threatening to go to
the Red Sox game whatever I do.

00:31:47.390 --> 00:31:49.710 align:middle line:84%
But if I actually go
to the Celtics game,

00:31:49.710 --> 00:31:52.510 align:middle line:84%
are you really going to find
it optimal to follow through

00:31:52.510 --> 00:31:53.372 align:middle line:90%
on that threat?

00:31:53.372 --> 00:31:54.830 align:middle line:84%
And the answer is
no, because given

00:31:54.830 --> 00:31:56.288 align:middle line:84%
that I'm going to
the Celtics game,

00:31:56.288 --> 00:31:58.510 align:middle line:84%
you'd rather go to the
Celtics than go alone.

00:31:58.510 --> 00:32:01.430 align:middle line:84%
So one other way of thinking
about backward induction

00:32:01.430 --> 00:32:03.910 align:middle line:84%
is that it's a principled
way of ruling out

00:32:03.910 --> 00:32:06.750 align:middle line:84%
equilibria that involve
non-credible threats

00:32:06.750 --> 00:32:08.530 align:middle line:84%
at contingencies
that are not reached.

00:32:08.530 --> 00:32:09.290 align:middle line:90%
Great question.

00:32:09.290 --> 00:32:11.450 align:middle line:84%
Yeah, any other
questions on this?

00:32:11.450 --> 00:32:11.950 align:middle line:90%
Yes?

00:32:11.950 --> 00:32:14.440 align:middle line:84%
AUDIENCE: Then would
you say offering 1

00:32:14.440 --> 00:32:17.100 align:middle line:84%
to a person then rejecting
it is a non-credible threat?

00:32:17.100 --> 00:32:18.560 align:middle line:90%
IAN BALL: Yes.

00:32:18.560 --> 00:32:22.280 align:middle line:84%
So similarly, this was
a Nash equilibrium that

00:32:22.280 --> 00:32:24.600 align:middle line:84%
involves a non-credible
threat, and therefore it's

00:32:24.600 --> 00:32:28.660 align:middle line:84%
a Nash equilibrium, but it will
not satisfy backward induction.

00:32:28.660 --> 00:32:31.420 align:middle line:84%
So in both of these cases--
these are very symmetric.

00:32:31.420 --> 00:32:34.360 align:middle line:84%
In both cases, we have
many Nash equilibria.

00:32:34.360 --> 00:32:37.240 align:middle line:84%
But some of the Nash equilibria
involve non-credible threats.

00:32:37.240 --> 00:32:39.240 align:middle line:84%
And we're going to introduce
an algorithm called

00:32:39.240 --> 00:32:42.605 align:middle line:84%
backward induction that will
rule out those equilibria.

00:32:42.605 --> 00:32:44.480 align:middle line:84%
But I think the point
that could be confusing

00:32:44.480 --> 00:32:47.120 align:middle line:84%
is even though I'm saying
this is not credible,

00:32:47.120 --> 00:32:48.800 align:middle line:90%
it's still an equilibrium.

00:32:48.800 --> 00:32:50.720 align:middle line:84%
And similarly over
here, this was exactly

00:32:50.720 --> 00:32:52.360 align:middle line:84%
a non-credible threat,
but it was still

00:32:52.360 --> 00:32:53.760 align:middle line:90%
part of an equilibrium.

00:32:53.760 --> 00:32:56.160 align:middle line:90%
Yeah.

00:32:56.160 --> 00:32:57.020 align:middle line:90%
Any other questions?

00:32:57.020 --> 00:32:58.800 align:middle line:90%
This is great.

00:32:58.800 --> 00:33:02.640 align:middle line:84%
OK, so now let's be
a bit more formal

00:33:02.640 --> 00:33:06.240 align:middle line:84%
or just say what
our algorithm is.

00:33:06.240 --> 00:33:09.340 align:middle line:84%
So this is-- we'll call this the
backward induction algorithm.

00:33:09.340 --> 00:33:19.160 align:middle line:90%


00:33:19.160 --> 00:33:20.680 align:middle line:90%
So we already did it here.

00:33:20.680 --> 00:33:22.180 align:middle line:84%
The algorithm is
you work backwards.

00:33:22.180 --> 00:33:23.940 align:middle line:90%
But let's say what that means.

00:33:23.940 --> 00:33:27.520 align:middle line:84%
Well, first, what's the
input to the algorithm?

00:33:27.520 --> 00:33:30.680 align:middle line:84%
And formally, the
input to the algorithm

00:33:30.680 --> 00:33:34.860 align:middle line:90%
is a finite extensive-form game.

00:33:34.860 --> 00:33:42.440 align:middle line:90%


00:33:42.440 --> 00:33:45.120 align:middle line:84%
Really, the important
aspect of finiteness

00:33:45.120 --> 00:33:49.320 align:middle line:84%
is that the players alternate
moves only finitely many times.

00:33:49.320 --> 00:33:51.720 align:middle line:84%
If one player at
some node can choose

00:33:51.720 --> 00:33:55.480 align:middle line:84%
among infinitely many
moves, like choosing

00:33:55.480 --> 00:33:58.220 align:middle line:84%
a number between 0 and 100,
it's still going to be OK.

00:33:58.220 --> 00:34:00.360 align:middle line:84%
But to be extra
careful, we'll only--

00:34:00.360 --> 00:34:03.460 align:middle line:84%
we'll formally define the
algorithm for finite games.

00:34:03.460 --> 00:34:05.160 align:middle line:84%
But we will be a bit
informal and then

00:34:05.160 --> 00:34:08.320 align:middle line:84%
apply it to some infinite games
where it won't create problems.

00:34:08.320 --> 00:34:11.969 align:middle line:84%
The other important aspect is
it's an extensive-form game.

00:34:11.969 --> 00:34:15.330 align:middle line:84%
The whole point of this is that
this algorithm is faithfully

00:34:15.330 --> 00:34:17.042 align:middle line:84%
capturing the
dynamics of the game,

00:34:17.042 --> 00:34:19.250 align:middle line:84%
and we wouldn't be able to
observe that if we started

00:34:19.250 --> 00:34:20.690 align:middle line:90%
with a strategic-form game.

00:34:20.690 --> 00:34:23.810 align:middle line:84%
So notice this is fundamentally
different from Nash equilibrium.

00:34:23.810 --> 00:34:26.449 align:middle line:84%
When we define Nash
equilibrium, our starting point

00:34:26.449 --> 00:34:29.050 align:middle line:90%
was a given strategic-form game.

00:34:29.050 --> 00:34:32.250 align:middle line:84%
Here, our starting point
is an extensive-form game.

00:34:32.250 --> 00:34:33.929 align:middle line:84%
And the other final
thing that we need

00:34:33.929 --> 00:34:36.830 align:middle line:84%
is this is a game with
perfect information.

00:34:36.830 --> 00:34:43.650 align:middle line:90%


00:34:43.650 --> 00:34:45.770 align:middle line:84%
What do I mean by
perfect information?

00:34:45.770 --> 00:34:48.949 align:middle line:84%
I mean every information
set is a singleton.

00:34:48.949 --> 00:35:01.970 align:middle line:90%


00:35:01.970 --> 00:35:04.510 align:middle line:84%
And as long as information
sets are singletons,

00:35:04.510 --> 00:35:07.170 align:middle line:84%
you could even have moves
by nature, that's OK,

00:35:07.170 --> 00:35:09.770 align:middle line:84%
but only moves by nature
that everyone gets to see.

00:35:09.770 --> 00:35:11.938 align:middle line:84%
So poker, where you
have a private hand,

00:35:11.938 --> 00:35:13.730 align:middle line:84%
that's not going to be
perfect information.

00:35:13.730 --> 00:35:16.850 align:middle line:84%
But if nature flipped a
coin and everyone saw that,

00:35:16.850 --> 00:35:20.050 align:middle line:90%
that would be OK.

00:35:20.050 --> 00:35:22.530 align:middle line:90%
Can you see what would go wrong?

00:35:22.530 --> 00:35:26.230 align:middle line:84%
Let's say these two nodes were
in the same information set

00:35:26.230 --> 00:35:28.570 align:middle line:84%
and we tried to perform
the same procedure.

00:35:28.570 --> 00:35:29.670 align:middle line:90%
What would go wrong?

00:35:29.670 --> 00:35:33.530 align:middle line:90%


00:35:33.530 --> 00:35:35.810 align:middle line:84%
Well, if we were at
this information set

00:35:35.810 --> 00:35:37.650 align:middle line:84%
and we tried to say
how should player

00:35:37.650 --> 00:35:39.310 align:middle line:84%
2 play at this
information set, we

00:35:39.310 --> 00:35:40.810 align:middle line:84%
wouldn't know how
to play because it

00:35:40.810 --> 00:35:43.018 align:middle line:84%
would depend on which of
the nodes in the information

00:35:43.018 --> 00:35:43.710 align:middle line:90%
set we were at.

00:35:43.710 --> 00:35:45.210 align:middle line:84%
And later in the
course, we'll think

00:35:45.210 --> 00:35:46.905 align:middle line:90%
about how to approach that.

00:35:46.905 --> 00:35:49.030 align:middle line:84%
But for now, our algorithm--
"later in the course,"

00:35:49.030 --> 00:35:50.570 align:middle line:90%
just in two days--

00:35:50.570 --> 00:35:52.930 align:middle line:84%
but for now, we're only
going to apply this

00:35:52.930 --> 00:35:56.088 align:middle line:84%
to games of perfect information
so that, at any node we get to,

00:35:56.088 --> 00:35:58.130 align:middle line:84%
we know that we're at that
node, and therefore we

00:35:58.130 --> 00:35:59.590 align:middle line:90%
can compute the optimal play.

00:35:59.590 --> 00:36:01.788 align:middle line:84%
If we had a non-singleton
information set

00:36:01.788 --> 00:36:04.330 align:middle line:84%
and we don't know which node
we're at within that information

00:36:04.330 --> 00:36:08.500 align:middle line:84%
set, it's not clear
what optimal play is.

00:36:08.500 --> 00:36:10.700 align:middle line:90%
So this is our input.

00:36:10.700 --> 00:36:12.000 align:middle line:90%
And what is our output?

00:36:12.000 --> 00:36:14.700 align:middle line:90%


00:36:14.700 --> 00:36:16.860 align:middle line:84%
We have to keep in mind
that the output is always

00:36:16.860 --> 00:36:18.120 align:middle line:90%
a strategy profile.

00:36:18.120 --> 00:36:22.940 align:middle line:90%


00:36:22.940 --> 00:36:24.280 align:middle line:90%
It's not a pair of payoffs.

00:36:24.280 --> 00:36:25.640 align:middle line:90%
It's the full strategy profile.

00:36:25.640 --> 00:36:27.500 align:middle line:84%
And this is the most
common mistake I see.

00:36:27.500 --> 00:36:29.800 align:middle line:84%
People just list the
payoffs they get at the end.

00:36:29.800 --> 00:36:31.920 align:middle line:84%
They follow the paths
down, and they say 2 1.

00:36:31.920 --> 00:36:36.100 align:middle line:84%
But you really have to specify
the full strategy profile.

00:36:36.100 --> 00:36:38.720 align:middle line:84%
Now, I could formally define
what the algorithm is,

00:36:38.720 --> 00:36:40.270 align:middle line:84%
but I think you
see how it works.

00:36:40.270 --> 00:36:42.020 align:middle line:84%
I can introduce all
this notation and say,

00:36:42.020 --> 00:36:43.900 align:middle line:84%
you start at the end,
and you play optimally,

00:36:43.900 --> 00:36:45.233 align:middle line:90%
and you work your way backwards.

00:36:45.233 --> 00:36:47.560 align:middle line:84%
But I think it's just easier
to say, you see how it is.

00:36:47.560 --> 00:36:50.520 align:middle line:84%
But let me talk about a few
properties of this algorithm.

00:36:50.520 --> 00:36:54.460 align:middle line:84%
So the output is not just
any strategy profile.

00:36:54.460 --> 00:36:57.700 align:middle line:84%
A first observation is
that it is a pure strategy

00:36:57.700 --> 00:37:04.880 align:middle line:84%
profile because, at each point,
we just choose one action.

00:37:04.880 --> 00:37:06.540 align:middle line:90%
We don't need any mixing.

00:37:06.540 --> 00:37:10.000 align:middle line:84%
Now, if the player were
indifferent at some point,

00:37:10.000 --> 00:37:11.280 align:middle line:90%
you might have two choices.

00:37:11.280 --> 00:37:13.420 align:middle line:84%
There might be two ways
they could play optimally.

00:37:13.420 --> 00:37:15.980 align:middle line:84%
And in that case, just
choose one arbitrarily.

00:37:15.980 --> 00:37:18.800 align:middle line:84%
So always break ties
yourself because, at the end,

00:37:18.800 --> 00:37:21.100 align:middle line:84%
we always want to
get a pure strategy

00:37:21.100 --> 00:37:23.220 align:middle line:90%
equilibrium when we apply this.

00:37:23.220 --> 00:37:27.060 align:middle line:84%
And that kind of indicates
another property of this, that,

00:37:27.060 --> 00:37:32.620 align:middle line:84%
in fact, the output
is going to be unique

00:37:32.620 --> 00:37:34.080 align:middle line:90%
as long as there are no ties.

00:37:34.080 --> 00:37:39.220 align:middle line:90%


00:37:39.220 --> 00:37:42.700 align:middle line:84%
So as long as we never get to
a point where there's a tie,

00:37:42.700 --> 00:37:44.960 align:middle line:84%
we never have any
flexibility in what we do.

00:37:44.960 --> 00:37:46.700 align:middle line:84%
So when we work
backwards, we're always

00:37:46.700 --> 00:37:49.648 align:middle line:84%
going to have a
unique edge to choose.

00:37:49.648 --> 00:37:51.440 align:middle line:84%
There's never going to
be multiple choices.

00:37:51.440 --> 00:37:54.620 align:middle line:90%


00:37:54.620 --> 00:37:57.200 align:middle line:84%
And this isn't just going
to be any strategy profile.

00:37:57.200 --> 00:37:59.180 align:middle line:84%
This is also going to
be a Nash equilibrium.

00:37:59.180 --> 00:38:08.030 align:middle line:90%


00:38:08.030 --> 00:38:11.910 align:middle line:90%
So what does this algorithm do?

00:38:11.910 --> 00:38:16.790 align:middle line:84%
It gives us a pure-strategy
Nash equilibrium.

00:38:16.790 --> 00:38:19.550 align:middle line:84%
And unless there
are ties, it always

00:38:19.550 --> 00:38:22.030 align:middle line:84%
gives us the same
pure-strategy Nash equilibrium.

00:38:22.030 --> 00:38:25.210 align:middle line:84%
But let's keep in
mind a warning.

00:38:25.210 --> 00:38:27.830 align:middle line:90%


00:38:27.830 --> 00:38:33.170 align:middle line:84%
As we already saw, there may
be other Nash equilibria.

00:38:33.170 --> 00:38:38.750 align:middle line:90%


00:38:38.750 --> 00:38:40.990 align:middle line:84%
So it's true that the
output of this algorithm

00:38:40.990 --> 00:38:44.490 align:middle line:84%
is a Nash equilibrium, but it's
a very special Nash equilibrium.

00:38:44.490 --> 00:38:47.510 align:middle line:84%
And it's possible that there are
other Nash equilibria that would

00:38:47.510 --> 00:38:50.390 align:middle line:84%
not-- that cannot be
outputs of this algorithm.

00:38:50.390 --> 00:38:52.390 align:middle line:84%
And those would be
the Nash equilibria

00:38:52.390 --> 00:38:54.470 align:middle line:84%
that involve
non-credible threats,

00:38:54.470 --> 00:38:56.970 align:middle line:90%
as we've identified previously.

00:38:56.970 --> 00:39:08.030 align:middle line:90%


00:39:08.030 --> 00:39:11.630 align:middle line:84%
Now, I think one
nice implication

00:39:11.630 --> 00:39:18.010 align:middle line:84%
of this that we shouldn't
forget is that, recall--

00:39:18.010 --> 00:39:20.790 align:middle line:90%


00:39:20.790 --> 00:39:26.550 align:middle line:84%
recall that some of the
strategic-form games

00:39:26.550 --> 00:39:30.610 align:middle line:84%
we looked at before did not have
pure-strategy Nash equilibria.

00:39:30.610 --> 00:39:48.830 align:middle line:90%


00:39:48.830 --> 00:39:52.190 align:middle line:84%
Can you remember an
example of a game that

00:39:52.190 --> 00:39:54.190 align:middle line:84%
doesn't have-- a
finite game that

00:39:54.190 --> 00:39:57.290 align:middle line:84%
doesn't have a pure-strategy
Nash equilibrium?

00:39:57.290 --> 00:40:05.020 align:middle line:90%


00:40:05.020 --> 00:40:05.520 align:middle line:90%
Yeah?

00:40:05.520 --> 00:40:06.360 align:middle line:90%
AUDIENCE: Rock, paper, scissors.

00:40:06.360 --> 00:40:07.700 align:middle line:84%
IAN BALL: Rock, paper,
scissors is a great example.

00:40:07.700 --> 00:40:08.620 align:middle line:90%
So it's unique.

00:40:08.620 --> 00:40:12.760 align:middle line:84%
Nash equilibrium is we each mix
one third, one third, one third.

00:40:12.760 --> 00:40:14.680 align:middle line:90%
So wait a second.

00:40:14.680 --> 00:40:17.680 align:middle line:84%
Rock, paper, scissors doesn't
have a pure-strategy Nash

00:40:17.680 --> 00:40:18.223 align:middle line:90%
equilibrium.

00:40:18.223 --> 00:40:19.640 align:middle line:84%
But here, I have
an algorithm that

00:40:19.640 --> 00:40:21.740 align:middle line:84%
always gives us a
pure-strategy Nash equilibrium.

00:40:21.740 --> 00:40:23.180 align:middle line:90%
So what's going on here?

00:40:23.180 --> 00:40:27.440 align:middle line:90%


00:40:27.440 --> 00:40:31.040 align:middle line:84%
Well, the input to our algorithm
is a finite extensive-form game

00:40:31.040 --> 00:40:33.000 align:middle line:90%
with perfect information.

00:40:33.000 --> 00:40:36.680 align:middle line:84%
So notice, rock, paper, scissors
is a simultaneous move game.

00:40:36.680 --> 00:40:38.400 align:middle line:84%
If we wanted to
represent rock, paper,

00:40:38.400 --> 00:40:42.920 align:middle line:84%
scissors in extensive form,
we'd have an information set

00:40:42.920 --> 00:40:45.200 align:middle line:84%
with multiple nodes,
and therefore this

00:40:45.200 --> 00:40:47.640 align:middle line:84%
would not be a game of
perfect information,

00:40:47.640 --> 00:40:49.920 align:middle line:84%
and therefore algorithm
would not apply.

00:40:49.920 --> 00:40:51.903 align:middle line:84%
So one implication
of this algorithm--

00:40:51.903 --> 00:40:53.320 align:middle line:84%
you can think of
it as a theorem--

00:40:53.320 --> 00:40:56.960 align:middle line:84%
is that every extensive-form
game with perfect information

00:40:56.960 --> 00:40:59.160 align:middle line:84%
has a pure-strategy
Nash equilibrium.

00:40:59.160 --> 00:41:01.840 align:middle line:84%
So Nash's theorem
told us that any game

00:41:01.840 --> 00:41:03.940 align:middle line:84%
has a mixed-strategy
Nash equilibrium.

00:41:03.940 --> 00:41:07.060 align:middle line:84%
Some games only have
mixed-strategy Nash equilibria.

00:41:07.060 --> 00:41:10.140 align:middle line:84%
But for this special class of
games with perfect information,

00:41:10.140 --> 00:41:12.860 align:middle line:84%
we always have a pure-strategy
Nash equilibrium.

00:41:12.860 --> 00:41:16.040 align:middle line:90%


00:41:16.040 --> 00:41:18.360 align:middle line:84%
So maybe I'll say--
what's the answer here?

00:41:18.360 --> 00:41:20.660 align:middle line:84%
Perfect-information
games are special.

00:41:20.660 --> 00:41:28.426 align:middle line:90%


00:41:28.426 --> 00:41:30.426 align:middle line:84%
And in fact, what's nice
about this algorithm is

00:41:30.426 --> 00:41:32.760 align:middle line:84%
it doesn't just show
that a pure-strategy Nash

00:41:32.760 --> 00:41:36.280 align:middle line:84%
equilibrium exists, it gives
us an algorithm for finding it,

00:41:36.280 --> 00:41:39.720 align:middle line:84%
whereas computing Nash
equilibria in arbitrary games

00:41:39.720 --> 00:41:42.840 align:middle line:90%
is generally much harder.

00:41:42.840 --> 00:41:46.080 align:middle line:84%
And this actually
formally confirms a claim

00:41:46.080 --> 00:41:47.700 align:middle line:90%
I made in a previous class.

00:41:47.700 --> 00:41:52.760 align:middle line:84%
If you recall, I said
that the value of chess

00:41:52.760 --> 00:41:55.640 align:middle line:90%
is plus 1, minus 1, or 0.

00:41:55.640 --> 00:41:58.730 align:middle line:84%
Can anyone see-- I didn't
actually check that claim.

00:41:58.730 --> 00:42:03.890 align:middle line:84%
Can anyone see why this follows
from what we've said so far?

00:42:03.890 --> 00:42:05.930 align:middle line:84%
So we know chess has
a value because chess

00:42:05.930 --> 00:42:07.890 align:middle line:90%
is a zero-sum game.

00:42:07.890 --> 00:42:09.370 align:middle line:84%
But in general,
the value of a game

00:42:09.370 --> 00:42:14.170 align:middle line:84%
could be something like
0.3 or negative 0.7.

00:42:14.170 --> 00:42:16.050 align:middle line:84%
So we know chess is
some value that's going

00:42:16.050 --> 00:42:19.055 align:middle line:90%
to be between negative 1 and 1.

00:42:19.055 --> 00:42:20.930 align:middle line:84%
But how do we know that
it has a value that's

00:42:20.930 --> 00:42:26.470 align:middle line:84%
either 0, negative 1,
or 1, and not, say, 0.7?

00:42:26.470 --> 00:42:26.970 align:middle line:90%
Yeah?

00:42:26.970 --> 00:42:28.370 align:middle line:84%
AUDIENCE: Win,
draw, [? or loss. ?]

00:42:28.370 --> 00:42:29.828 align:middle line:84%
IAN BALL: So those
are the outcomes

00:42:29.828 --> 00:42:31.230 align:middle line:90%
of the game, that's true.

00:42:31.230 --> 00:42:34.630 align:middle line:84%
But I can give you examples of
games-- let's take rock, paper--

00:42:34.630 --> 00:42:36.330 align:middle line:90%
well, let's take--

00:42:36.330 --> 00:42:39.730 align:middle line:84%
rock, paper, scissors
is not a good example.

00:42:39.730 --> 00:42:42.635 align:middle line:84%
The-- actually, hide and seek
is also not a good example.

00:42:42.635 --> 00:42:44.010 align:middle line:84%
There are games
that can give you

00:42:44.010 --> 00:42:46.850 align:middle line:84%
with 1's and 2's and only
whole-number payoffs, where

00:42:46.850 --> 00:42:49.610 align:middle line:84%
the value of the game is not a
whole number because it involves

00:42:49.610 --> 00:42:50.110 align:middle line:90%
mixing.

00:42:50.110 --> 00:42:54.270 align:middle line:84%
So rock, paper, scissors,
if I slightly change things,

00:42:54.270 --> 00:42:55.690 align:middle line:90%
I'd be able to get that.

00:42:55.690 --> 00:43:00.210 align:middle line:84%
So that shows that, indeed, the
value can't be below negative 1

00:43:00.210 --> 00:43:01.250 align:middle line:90%
or above 1.

00:43:01.250 --> 00:43:04.150 align:middle line:84%
But in principle, players
could play mixed strategies.

00:43:04.150 --> 00:43:06.890 align:middle line:84%
And maybe the value-- we
often saw in zero-sum games

00:43:06.890 --> 00:43:09.410 align:middle line:84%
that the security
strategies involved mixing.

00:43:09.410 --> 00:43:12.710 align:middle line:84%
And that meant that the
value was a fraction.

00:43:12.710 --> 00:43:13.510 align:middle line:90%
Yeah?

00:43:13.510 --> 00:43:15.510 align:middle line:84%
AUDIENCE: I mean, I don't
have the exact answer,

00:43:15.510 --> 00:43:17.427 align:middle line:84%
but does it have something
to do with the fact

00:43:17.427 --> 00:43:21.390 align:middle line:84%
that one player has one step's
worth of perfect information,

00:43:21.390 --> 00:43:25.105 align:middle line:84%
[? that ?] you always know what
happens if you [INAUDIBLE].

00:43:25.105 --> 00:43:27.230 align:middle line:84%
IAN BALL: Yeah, I think
it's even easier than that.

00:43:27.230 --> 00:43:28.730 align:middle line:84%
They do have
perfect information.

00:43:28.730 --> 00:43:30.950 align:middle line:84%
So chess is a game of
perfect information.

00:43:30.950 --> 00:43:32.950 align:middle line:84%
Whenever I move, I
see all the moves--

00:43:32.950 --> 00:43:35.290 align:middle line:84%
I see the board, and
I know exactly how

00:43:35.290 --> 00:43:36.650 align:middle line:90%
people have moved before.

00:43:36.650 --> 00:43:38.030 align:middle line:90%
So let's understand this.

00:43:38.030 --> 00:43:40.890 align:middle line:84%
Chess is a game of
perfect information,

00:43:40.890 --> 00:43:44.950 align:middle line:84%
PI, which means I can apply
backward induction to chess,

00:43:44.950 --> 00:43:45.515 align:middle line:90%
in principle.

00:43:45.515 --> 00:43:46.890 align:middle line:84%
Of course, I can't
actually do it

00:43:46.890 --> 00:43:49.450 align:middle line:90%
because the game tree explodes.

00:43:49.450 --> 00:43:53.570 align:middle line:84%
No computer-- all the
NVIDIA chips in the world

00:43:53.570 --> 00:43:56.700 align:middle line:84%
can't solve chess,
but because it's

00:43:56.700 --> 00:43:59.300 align:middle line:84%
a game of perfect
information, I know

00:43:59.300 --> 00:44:04.980 align:middle line:84%
it has a pure-strategy Nash
equilibrium from backward

00:44:04.980 --> 00:44:07.220 align:middle line:90%
induction.

00:44:07.220 --> 00:44:09.600 align:middle line:84%
And because it has a
pure-strategy Nash equilibrium--

00:44:09.600 --> 00:44:11.740 align:middle line:84%
well, because it's
a zero-sum game,

00:44:11.740 --> 00:44:14.760 align:middle line:84%
I know that in that
pure-strategy Nash equilibrium,

00:44:14.760 --> 00:44:18.220 align:middle line:84%
each player is actually
playing a security strategy.

00:44:18.220 --> 00:44:20.980 align:middle line:84%
So it must consist--
because it's

00:44:20.980 --> 00:44:27.980 align:middle line:84%
zero-sum, that consists
of security strategies.

00:44:27.980 --> 00:44:30.780 align:middle line:84%
And the payoff in that
pure-strategy Nash equilibrium

00:44:30.780 --> 00:44:32.500 align:middle line:84%
consisting of
security strategies

00:44:32.500 --> 00:44:34.080 align:middle line:84%
is exactly the
value of the game.

00:44:34.080 --> 00:44:41.180 align:middle line:90%


00:44:41.180 --> 00:44:42.940 align:middle line:84%
So in general, the
value of the game

00:44:42.940 --> 00:44:45.700 align:middle line:84%
is always the payoff when each
player plays their security

00:44:45.700 --> 00:44:46.660 align:middle line:90%
strategy.

00:44:46.660 --> 00:44:49.400 align:middle line:84%
But often, those security
strategies involve mixing.

00:44:49.400 --> 00:44:50.800 align:middle line:90%
Those are mixed strategies.

00:44:50.800 --> 00:44:52.820 align:middle line:84%
And therefore the
payoff isn't necessarily

00:44:52.820 --> 00:44:54.280 align:middle line:90%
plus 1, minus 1, or 0.

00:44:54.280 --> 00:44:56.060 align:middle line:90%
It could be something like 1/2.

00:44:56.060 --> 00:44:58.380 align:middle line:84%
But this tells us that, in
fact, the value of the game

00:44:58.380 --> 00:45:00.220 align:middle line:90%
is plus 1, minus 1, and 0.

00:45:00.220 --> 00:45:02.740 align:middle line:84%
And even more
amazingly, it tells us

00:45:02.740 --> 00:45:06.580 align:middle line:84%
that the security
strategies are pure.

00:45:06.580 --> 00:45:09.740 align:middle line:84%
So if I say, what's the optimal
way to play chess, it's not,

00:45:09.740 --> 00:45:11.760 align:middle line:84%
oh, I'm going to randomize,
like it is in poker.

00:45:11.760 --> 00:45:12.840 align:middle line:90%
There's literally a book.

00:45:12.840 --> 00:45:15.173 align:middle line:84%
It would be bigger than
the size of the universe,

00:45:15.173 --> 00:45:17.840 align:middle line:84%
but there is a book I could, in
principle, write down that says,

00:45:17.840 --> 00:45:20.500 align:middle line:84%
given this move on the board,
this is how you should play.

00:45:20.500 --> 00:45:21.880 align:middle line:84%
Given this position
on the board,

00:45:21.880 --> 00:45:23.060 align:middle line:90%
this is how you should play.

00:45:23.060 --> 00:45:26.060 align:middle line:84%
And that would ensure
either that I always win,

00:45:26.060 --> 00:45:28.940 align:middle line:84%
depending on if the value is
1 and I'm the first player,

00:45:28.940 --> 00:45:31.087 align:middle line:84%
maybe I always draw, or
maybe the other player

00:45:31.087 --> 00:45:31.920 align:middle line:90%
has such a strategy.

00:45:31.920 --> 00:45:35.140 align:middle line:84%
We just don't know in chess
who has the advantage.

00:45:35.140 --> 00:45:36.387 align:middle line:90%
In checkers, we do know.

00:45:36.387 --> 00:45:37.720 align:middle line:90%
So what's the value of checkers?

00:45:37.720 --> 00:45:38.440 align:middle line:90%
Does anyone know?

00:45:38.440 --> 00:45:42.020 align:middle line:90%


00:45:42.020 --> 00:45:42.980 align:middle line:90%
Yeah?

00:45:42.980 --> 00:45:44.537 align:middle line:84%
AUDIENCE: The first
player has won.

00:45:44.537 --> 00:45:46.120 align:middle line:84%
IAN BALL: No, I think
it's actually 0.

00:45:46.120 --> 00:45:47.953 align:middle line:84%
I think, checkers, if
people play optimally,

00:45:47.953 --> 00:45:49.260 align:middle line:90%
I think it ends in a tie.

00:45:49.260 --> 00:45:50.880 align:middle line:84%
Though, there may be different
variants of checkers,

00:45:50.880 --> 00:45:51.970 align:middle line:90%
so I have to check that.

00:45:51.970 --> 00:45:53.390 align:middle line:84%
But I think, in
standard checkers,

00:45:53.390 --> 00:45:54.530 align:middle line:90%
it always ends in a tie.

00:45:54.530 --> 00:45:55.150 align:middle line:90%
Yeah.

00:45:55.150 --> 00:45:55.730 align:middle line:90%
Yeah?

00:45:55.730 --> 00:45:57.970 align:middle line:84%
AUDIENCE: When you say
a game has a value,

00:45:57.970 --> 00:45:59.053 align:middle line:90%
what are you referring to?

00:45:59.053 --> 00:46:01.730 align:middle line:84%
IAN BALL: So this is something
specific to zero-sum games.

00:46:01.730 --> 00:46:04.370 align:middle line:84%
That's a lecture we did,
I guess, on Thursday.

00:46:04.370 --> 00:46:06.690 align:middle line:84%
Yeah, so it's referencing
a previous lecture.

00:46:06.690 --> 00:46:08.170 align:middle line:84%
Yeah, I'm happy to
talk more after.

00:46:08.170 --> 00:46:10.830 align:middle line:90%


00:46:10.830 --> 00:46:13.790 align:middle line:90%
Any other questions on this?

00:46:13.790 --> 00:46:21.990 align:middle line:84%
So now let's do one final
example of backward induction.

00:46:21.990 --> 00:46:28.290 align:middle line:84%
And that will be another
quantity competition game.

00:46:28.290 --> 00:46:35.173 align:middle line:90%


00:46:35.173 --> 00:46:37.990 align:middle line:84%
So, so far we looked
at Cournot competition.

00:46:37.990 --> 00:46:40.747 align:middle line:84%
Here we'll look at something
called Stackelberg competition.

00:46:40.747 --> 00:46:42.330 align:middle line:84%
I mean, the names
don't really matter.

00:46:42.330 --> 00:46:48.390 align:middle line:90%


00:46:48.390 --> 00:46:50.450 align:middle line:84%
So in Cournot
competition, remember,

00:46:50.450 --> 00:46:54.710 align:middle line:84%
we had two firms that were each
choosing how much to produce

00:46:54.710 --> 00:46:56.590 align:middle line:90%
and how much to bring to market.

00:46:56.590 --> 00:46:59.150 align:middle line:84%
But the assumption in
Cournot was that the firms

00:46:59.150 --> 00:47:00.742 align:middle line:90%
move simultaneously.

00:47:00.742 --> 00:47:02.950 align:middle line:84%
And in Stackelberg, we're
going to imagine that there

00:47:02.950 --> 00:47:04.270 align:middle line:90%
may be a first mover.

00:47:04.270 --> 00:47:06.710 align:middle line:90%
Maybe I harvest my crops first.

00:47:06.710 --> 00:47:08.890 align:middle line:84%
I get to choose to
bring them to market.

00:47:08.890 --> 00:47:11.350 align:middle line:84%
And then the next farmer sees
how much I bring to market

00:47:11.350 --> 00:47:13.950 align:middle line:84%
and then chooses how
much to bring themselves.

00:47:13.950 --> 00:47:17.590 align:middle line:84%
So we have-- it's still
quantity competition.

00:47:17.590 --> 00:47:19.310 align:middle line:90%
I'll emphasize this.

00:47:19.310 --> 00:47:25.390 align:middle line:84%
But it's-- sequential quantity
competition would maybe be--

00:47:25.390 --> 00:47:26.835 align:middle line:90%
we often name these with people.

00:47:26.835 --> 00:47:28.210 align:middle line:84%
But if you don't
know the person,

00:47:28.210 --> 00:47:29.543 align:middle line:90%
it's not a very meaningful name.

00:47:29.543 --> 00:47:32.590 align:middle line:84%
So we might call this
sequential quantity competition

00:47:32.590 --> 00:47:34.170 align:middle line:84%
if we want a more
descriptive title.

00:47:34.170 --> 00:47:37.430 align:middle line:90%


00:47:37.430 --> 00:47:38.950 align:middle line:90%
So let's see how this works.

00:47:38.950 --> 00:47:44.990 align:middle line:84%
We still have two
firms, 1 and 2.

00:47:44.990 --> 00:47:49.560 align:middle line:84%
And they are choosing
quantities as before.

00:47:49.560 --> 00:47:52.880 align:middle line:90%
And we have market demand--

00:47:52.880 --> 00:48:01.040 align:middle line:84%
maybe I'll say inverse
demand P of Q equals

00:48:01.040 --> 00:48:06.280 align:middle line:84%
to the maximum of
1 minus Q and 0.

00:48:06.280 --> 00:48:08.160 align:middle line:84%
So this is exactly
what we had before.

00:48:08.160 --> 00:48:11.760 align:middle line:84%
The more quantity that's brought
to market, the lower the price

00:48:11.760 --> 00:48:12.520 align:middle line:90%
is.

00:48:12.520 --> 00:48:16.200 align:middle line:84%
If quantity 1 is brought
to market, the price is 0.

00:48:16.200 --> 00:48:19.280 align:middle line:84%
If quantity 0 is brought
to market, the price is 1.

00:48:19.280 --> 00:48:20.940 align:middle line:84%
And the price can
never go negative.

00:48:20.940 --> 00:48:23.680 align:middle line:84%
So if tons is brought to market,
we just say the price is 0.

00:48:23.680 --> 00:48:26.360 align:middle line:90%
The market price is 0.

00:48:26.360 --> 00:48:34.860 align:middle line:84%
And let's also assume
marginal cost C. And as usual,

00:48:34.860 --> 00:48:38.640 align:middle line:84%
we'll assume C is
between 0 and 1.

00:48:38.640 --> 00:48:40.960 align:middle line:84%
So remember,
marginal cost C means

00:48:40.960 --> 00:48:43.360 align:middle line:84%
whatever quantity Q
of the good I produce,

00:48:43.360 --> 00:48:46.100 align:middle line:84%
it costs me C times Q
to produce that amount.

00:48:46.100 --> 00:48:50.120 align:middle line:84%
So it's a linear cost--
constant marginal cost.

00:48:50.120 --> 00:48:54.320 align:middle line:84%
But the key difference
relative to Cournot competition

00:48:54.320 --> 00:48:56.540 align:middle line:90%
is that firm 1 moves first.

00:48:56.540 --> 00:49:03.520 align:middle line:90%


00:49:03.520 --> 00:49:10.660 align:middle line:84%
And then firm 2 observes
firm 1's choice.

00:49:10.660 --> 00:49:16.440 align:middle line:90%


00:49:16.440 --> 00:49:17.340 align:middle line:90%
So we can draw this.

00:49:17.340 --> 00:49:19.100 align:middle line:84%
We can try to draw
this in extensive form.

00:49:19.100 --> 00:49:20.600 align:middle line:84%
It's a little tricky
because they're

00:49:20.600 --> 00:49:23.540 align:middle line:84%
making choices among
infinitely many quantities.

00:49:23.540 --> 00:49:27.720 align:middle line:84%
But if we wanted to draw it,
we would say, here's firm 1.

00:49:27.720 --> 00:49:31.360 align:middle line:84%
They're making an infinite
choice over how much to produce.

00:49:31.360 --> 00:49:35.120 align:middle line:90%
Maybe we'll call this Q1.

00:49:35.120 --> 00:49:39.600 align:middle line:84%
Maybe I'll take a
particular point here.

00:49:39.600 --> 00:49:43.920 align:middle line:84%
And then we have
firm 2, who's making

00:49:43.920 --> 00:49:46.850 align:middle line:90%
an infinite choice over Q2.

00:49:46.850 --> 00:49:49.410 align:middle line:84%
So it's a little hard
to formally represent

00:49:49.410 --> 00:49:52.090 align:middle line:84%
this in extensive form when we
have infinitely many things.

00:49:52.090 --> 00:49:55.530 align:middle line:84%
But what I mean here
is player 1 chooses

00:49:55.530 --> 00:49:59.930 align:middle line:84%
a quantity Q1 to bring to
market, any non-negative number.

00:49:59.930 --> 00:50:02.542 align:middle line:84%
Whatever quantity that
is, player 2 observes it.

00:50:02.542 --> 00:50:04.250 align:middle line:84%
I'll warn you that
it's particularly hard

00:50:04.250 --> 00:50:07.950 align:middle line:84%
to represent information sets
with infinitely many players.

00:50:07.950 --> 00:50:10.930 align:middle line:84%
So it's crucial here
sometimes to write it in words

00:50:10.930 --> 00:50:13.343 align:middle line:84%
that player 2 observes
the quantity that's

00:50:13.343 --> 00:50:15.010 align:middle line:84%
produced by player 1
because it's really

00:50:15.010 --> 00:50:16.730 align:middle line:90%
hard to draw information sets.

00:50:16.730 --> 00:50:18.790 align:middle line:84%
And then player 2
chooses the quantity Q2.

00:50:18.790 --> 00:50:26.690 align:middle line:90%


00:50:26.690 --> 00:50:29.090 align:middle line:90%
So now let's write down payoffs.

00:50:29.090 --> 00:50:32.090 align:middle line:84%
The payoffs are actually
going to look exactly the same

00:50:32.090 --> 00:50:34.250 align:middle line:84%
as they did in
Cournot competition

00:50:34.250 --> 00:50:37.650 align:middle line:84%
because the payoffs just depend
on how much each firm brings

00:50:37.650 --> 00:50:38.350 align:middle line:90%
to market.

00:50:38.350 --> 00:50:40.570 align:middle line:84%
So this is kind of
like our BoS game,

00:50:40.570 --> 00:50:44.490 align:middle line:84%
where the payoffs are the
same whether player 2 observes

00:50:44.490 --> 00:50:47.023 align:middle line:84%
player 1's move or not, but
the equilibria of the game

00:50:47.023 --> 00:50:48.690 align:middle line:84%
are going to be very
different depending

00:50:48.690 --> 00:50:50.450 align:middle line:84%
on whether that
move is observed.

00:50:50.450 --> 00:50:51.910 align:middle line:90%
So what are our payoffs?

00:50:51.910 --> 00:50:53.590 align:middle line:90%
Let's look at, say, firm 1.

00:50:53.590 --> 00:50:56.570 align:middle line:90%


00:50:56.570 --> 00:51:05.730 align:middle line:84%
Well, as before, we want to say,
what is firm 1's profit, pi 1,

00:51:05.730 --> 00:51:08.370 align:middle line:84%
if they bring
quantity Q1 to market

00:51:08.370 --> 00:51:11.170 align:middle line:84%
and firm 2 brings
quantity Q2 to market?

00:51:11.170 --> 00:51:13.770 align:middle line:84%
So we always have to think
of profit in two components.

00:51:13.770 --> 00:51:17.570 align:middle line:84%
It's the profit per unit times
the number of units you have.

00:51:17.570 --> 00:51:23.370 align:middle line:84%
So it's going to
be Q1 times what?

00:51:23.370 --> 00:51:30.250 align:middle line:84%
Well, maybe I'll
write it like this.

00:51:30.250 --> 00:51:32.730 align:middle line:84%
Q1 is the amount
I bring to market.

00:51:32.730 --> 00:51:35.770 align:middle line:84%
I sell it at a price
of P of Q1 plus Q2

00:51:35.770 --> 00:51:39.410 align:middle line:84%
because Q1 plus Q2 is the total
quantity brought to market.

00:51:39.410 --> 00:51:41.290 align:middle line:84%
That's what
determines the price.

00:51:41.290 --> 00:51:44.250 align:middle line:84%
And then, of course, I also have
to pay my constant marginal cost

00:51:44.250 --> 00:51:45.170 align:middle line:90%
per unit.

00:51:45.170 --> 00:51:48.450 align:middle line:84%
But let me plug in a formula
here, again with my little cheat

00:51:48.450 --> 00:51:50.955 align:middle line:84%
that I'm going to assume
Q is not so big that this

00:51:50.955 --> 00:51:51.830 align:middle line:90%
is a negative number.

00:51:51.830 --> 00:51:56.490 align:middle line:84%
So I'm just going to write
this as Q1 times 1 minus Q1

00:51:56.490 --> 00:52:01.050 align:middle line:84%
minus Q2 minus C, where
technically this formula only

00:52:01.050 --> 00:52:04.930 align:middle line:84%
applies if Q1 plus Q2 is
between 0 and 1, but in the end

00:52:04.930 --> 00:52:05.478 align:middle line:90%
it will be.

00:52:05.478 --> 00:52:07.270 align:middle line:84%
You might say, why are
there two negatives?

00:52:07.270 --> 00:52:10.770 align:middle line:84%
Well, remember, it's minus,
in parentheses, Q1 plus Q2.

00:52:10.770 --> 00:52:14.330 align:middle line:84%
And that's why I
get two minuses.

00:52:14.330 --> 00:52:18.010 align:middle line:84%
So now we've
specified the payoffs.

00:52:18.010 --> 00:52:21.290 align:middle line:84%
We still have to specify
strategies, though.

00:52:21.290 --> 00:52:26.850 align:middle line:84%
And this, I think, is
where it gets a bit tricky.

00:52:26.850 --> 00:52:27.430 align:middle line:90%
Any ideas?

00:52:27.430 --> 00:52:29.430 align:middle line:84%
Let's start with
player 1, firm 1.

00:52:29.430 --> 00:52:32.210 align:middle line:84%
Maybe I'll call them
F1 and F2 for firm.

00:52:32.210 --> 00:52:34.190 align:middle line:90%
What is a strategy for firm 1?

00:52:34.190 --> 00:52:39.890 align:middle line:90%


00:52:39.890 --> 00:52:40.410 align:middle line:90%
Yeah?

00:52:40.410 --> 00:52:42.140 align:middle line:84%
AUDIENCE: Whatever
value of Q1 would

00:52:42.140 --> 00:52:44.560 align:middle line:84%
lead to the derivative
of Q1 times [INAUDIBLE].

00:52:44.560 --> 00:52:46.000 align:middle line:84%
IAN BALL: Well, now you're
talking about optimal.

00:52:46.000 --> 00:52:48.417 align:middle line:84%
Sorry, I'm just saying, what
is the set of all strategies,

00:52:48.417 --> 00:52:49.980 align:middle line:90%
before we talk about optimum.

00:52:49.980 --> 00:52:51.140 align:middle line:90%
So a strategy for--

00:52:51.140 --> 00:52:52.980 align:middle line:84%
I'm just saying,
what is a strategy?

00:52:52.980 --> 00:52:56.283 align:middle line:84%
AUDIENCE: [INAUDIBLE] for
any non-negative value.

00:52:56.283 --> 00:52:57.700 align:middle line:84%
IAN BALL: Yeah,
so it's just going

00:52:57.700 --> 00:53:01.380 align:middle line:84%
to be Q1, which we have to
choose exactly how much they

00:53:01.380 --> 00:53:02.280 align:middle line:90%
can produce.

00:53:02.280 --> 00:53:04.658 align:middle line:84%
Let's say it's a number
between, say, 0 and infinity,

00:53:04.658 --> 00:53:05.700 align:middle line:90%
so a non-negative number.

00:53:05.700 --> 00:53:06.540 align:middle line:90%
Let's say that.

00:53:06.540 --> 00:53:09.300 align:middle line:90%
The details don't really matter.

00:53:09.300 --> 00:53:11.238 align:middle line:84%
Whether it's 0 to
1 or 0 to infinity,

00:53:11.238 --> 00:53:12.280 align:middle line:90%
it doesn't really matter.

00:53:12.280 --> 00:53:13.280 align:middle line:90%
But what about firm 2?

00:53:13.280 --> 00:53:15.060 align:middle line:84%
This is where it
gets quite subtle.

00:53:15.060 --> 00:53:17.740 align:middle line:90%
What is a strategy for firm 2?

00:53:17.740 --> 00:53:21.220 align:middle line:84%
Well, if we took our
previous approach,

00:53:21.220 --> 00:53:22.760 align:middle line:90%
we'd have to get a vector.

00:53:22.760 --> 00:53:25.020 align:middle line:84%
And we'd have to have a
different spot in the vector

00:53:25.020 --> 00:53:26.540 align:middle line:90%
for every contingency.

00:53:26.540 --> 00:53:28.520 align:middle line:84%
But now there's infinitely
many contingencies.

00:53:28.520 --> 00:53:30.420 align:middle line:84%
So that's going to
become a bit messy.

00:53:30.420 --> 00:53:33.780 align:middle line:90%
So we really need a function.

00:53:33.780 --> 00:53:39.100 align:middle line:84%
What kind of function
is this going to be?

00:53:39.100 --> 00:53:43.620 align:middle line:84%
Well, firm 2 observes the
quantity chosen by firm 1,

00:53:43.620 --> 00:53:45.860 align:middle line:84%
and then they choose
a quantity themselves.

00:53:45.860 --> 00:53:55.880 align:middle line:84%
So sometimes it might
be easier to do 0, 1,

00:53:55.880 --> 00:53:58.740 align:middle line:90%
but I'll stick with it this way.

00:53:58.740 --> 00:53:59.800 align:middle line:90%
So what does this say?

00:53:59.800 --> 00:54:00.883 align:middle line:90%
What's the interpretation?

00:54:00.883 --> 00:54:01.440 align:middle line:90%
Yeah?

00:54:01.440 --> 00:54:03.380 align:middle line:84%
AUDIENCE: Is C going to be
involved [? in this one? ?]

00:54:03.380 --> 00:54:05.600 align:middle line:84%
Is C going to be considered
an input to the function?

00:54:05.600 --> 00:54:06.980 align:middle line:90%
Or will C be implied?

00:54:06.980 --> 00:54:11.200 align:middle line:84%
IAN BALL: No, so C is a commonly
known parameter-- is known.

00:54:11.200 --> 00:54:13.500 align:middle line:84%
AUDIENCE: So it is not
considered an input

00:54:13.500 --> 00:54:14.560 align:middle line:90%
to the function?

00:54:14.560 --> 00:54:16.600 align:middle line:84%
IAN BALL: No, because
C is like 2 here.

00:54:16.600 --> 00:54:18.700 align:middle line:90%
It doesn't change--

00:54:18.700 --> 00:54:22.800 align:middle line:84%
C is a known parameter that
affects the payoff functions,

00:54:22.800 --> 00:54:25.360 align:middle line:84%
but it doesn't affect the
definition of the strategies.

00:54:25.360 --> 00:54:27.380 align:middle line:84%
So you think of it,
in a game, there's

00:54:27.380 --> 00:54:30.080 align:middle line:84%
a fundamental distinction
between the set of strategies,

00:54:30.080 --> 00:54:32.600 align:middle line:84%
what people can do, and
the utility functions,

00:54:32.600 --> 00:54:35.500 align:middle line:84%
which is how well they do when
they choose those strategies.

00:54:35.500 --> 00:54:38.080 align:middle line:84%
C is just-- we could call
it a half if we wanted.

00:54:38.080 --> 00:54:41.050 align:middle line:84%
It's just a known number that
enters the utility functions

00:54:41.050 --> 00:54:43.010 align:middle line:84%
but has no role
in the strategies.

00:54:43.010 --> 00:54:46.670 align:middle line:84%
One way of seeing this is if
in this game, I made this a 3,

00:54:46.670 --> 00:54:48.450 align:middle line:84%
it wouldn't change
the set of strategies.

00:54:48.450 --> 00:54:50.075 align:middle line:84%
It would just change
the payoffs people

00:54:50.075 --> 00:54:51.710 align:middle line:90%
get from those strategies.

00:54:51.710 --> 00:54:54.655 align:middle line:84%
And I could call this alpha,
and the same would be true.

00:54:54.655 --> 00:54:55.530 align:middle line:90%
But that's important.

00:54:55.530 --> 00:54:57.890 align:middle line:84%
If C was private information,
then it would get tricky.

00:54:57.890 --> 00:54:59.890 align:middle line:84%
But we're going to assume
it's known and public.

00:54:59.890 --> 00:55:02.150 align:middle line:84%
Everyone knows it,
just like everyone

00:55:02.150 --> 00:55:05.630 align:middle line:84%
knows this market
function, big P.

00:55:05.630 --> 00:55:08.030 align:middle line:84%
Great, so what's the
interpretation of this?

00:55:08.030 --> 00:55:14.310 align:middle line:84%
This says, for any Q1 that I
observe, what is the amount

00:55:14.310 --> 00:55:18.030 align:middle line:90%
Q2 of Q1 that I produce?

00:55:18.030 --> 00:55:21.150 align:middle line:84%
So Q1 is the quantity
that I observe

00:55:21.150 --> 00:55:23.548 align:middle line:90%
for 1 producing hypothetically.

00:55:23.548 --> 00:55:25.590 align:middle line:84%
It's not how much they
actually produce, but it's

00:55:25.590 --> 00:55:28.590 align:middle line:84%
if I were to observe
them producing Q1,

00:55:28.590 --> 00:55:30.430 align:middle line:84%
how much would I
produce as firm 2?

00:55:30.430 --> 00:55:33.390 align:middle line:90%
I would produce Q2 of Q1.

00:55:33.390 --> 00:55:36.510 align:middle line:90%
OK, now, a big warning here.

00:55:36.510 --> 00:55:39.390 align:middle line:84%
I think this is maybe
the fault of sometimes

00:55:39.390 --> 00:55:40.570 align:middle line:90%
the way we teach math.

00:55:40.570 --> 00:55:43.710 align:middle line:90%


00:55:43.710 --> 00:55:46.950 align:middle line:90%
Q2 is a function.

00:55:46.950 --> 00:55:49.532 align:middle line:90%
Q2 of Q1 is a number.

00:55:49.532 --> 00:55:50.990 align:middle line:84%
And this creates
a lot of confusion

00:55:50.990 --> 00:55:55.470 align:middle line:84%
because, in math class, we often
write f of x to mean a function.

00:55:55.470 --> 00:55:57.170 align:middle line:90%
But really, f of x is a number.

00:55:57.170 --> 00:55:59.167 align:middle line:84%
It's the value of
the function at x.

00:55:59.167 --> 00:56:00.750 align:middle line:84%
So it's really
important in this class

00:56:00.750 --> 00:56:05.550 align:middle line:84%
that we understand f by
itself is a function, f

00:56:05.550 --> 00:56:07.110 align:middle line:90%
of x is a number--

00:56:07.110 --> 00:56:09.950 align:middle line:84%
the value of the
function evaluated at x.

00:56:09.950 --> 00:56:12.470 align:middle line:84%
So in problem sets,
it's really important

00:56:12.470 --> 00:56:15.470 align:middle line:84%
that we understand that
the strategy for firm 2

00:56:15.470 --> 00:56:17.510 align:middle line:90%
is the function Q2.

00:56:17.510 --> 00:56:21.150 align:middle line:84%
People often say the
strategy is Q2 of Q1, but no.

00:56:21.150 --> 00:56:23.930 align:middle line:90%
Q2 of Q1 is a number.

00:56:23.930 --> 00:56:27.890 align:middle line:84%
It's the quantity produced at
a particular contingency, Q1.

00:56:27.890 --> 00:56:29.390 align:middle line:84%
So it's really
important that you

00:56:29.390 --> 00:56:31.670 align:middle line:90%
understand function notation.

00:56:31.670 --> 00:56:34.450 align:middle line:84%
If in doubt, you need to, on
problem sets or on quizzes,

00:56:34.450 --> 00:56:36.420 align:middle line:84%
be very clear about
what you mean by things

00:56:36.420 --> 00:56:38.253 align:middle line:84%
because if you say the
strategy is Q2 of Q1,

00:56:38.253 --> 00:56:39.795 align:middle line:84%
we're not going to
really know if you

00:56:39.795 --> 00:56:42.398 align:middle line:84%
mean a number or a function
because of this ambiguity

00:56:42.398 --> 00:56:42.940 align:middle line:90%
that we have.

00:56:42.940 --> 00:56:46.080 align:middle line:90%
So try to be precise.

00:56:46.080 --> 00:56:47.360 align:middle line:90%
Great.

00:56:47.360 --> 00:56:50.660 align:middle line:84%
So now let's try to
actually analyze this.

00:56:50.660 --> 00:57:07.920 align:middle line:90%


00:57:07.920 --> 00:57:10.400 align:middle line:84%
So now what we'd like to do
is apply backward induction

00:57:10.400 --> 00:57:11.160 align:middle line:90%
to this game.

00:57:11.160 --> 00:57:13.240 align:middle line:84%
Now, I know technically
I said it only applies

00:57:13.240 --> 00:57:14.700 align:middle line:90%
to finite extensive form games.

00:57:14.700 --> 00:57:16.280 align:middle line:84%
But we are going to be
able to apply it here,

00:57:16.280 --> 00:57:17.480 align:middle line:90%
and it won't be a problem.

00:57:17.480 --> 00:57:19.300 align:middle line:84%
So let's apply
backward induction.

00:57:19.300 --> 00:57:25.600 align:middle line:90%


00:57:25.600 --> 00:57:26.800 align:middle line:90%
And what are we going to do?

00:57:26.800 --> 00:57:30.160 align:middle line:84%
Well, we're going to work
backwards, like we always do.

00:57:30.160 --> 00:57:31.600 align:middle line:90%
So let's start here.

00:57:31.600 --> 00:57:35.760 align:middle line:84%
And we have to say, as a
function of the amount Q1

00:57:35.760 --> 00:57:40.040 align:middle line:84%
that firm 1 has produced,
what should firm 2 do?

00:57:40.040 --> 00:57:49.760 align:middle line:84%
So let's consider maybe what
I'll call contingency or infoset

00:57:49.760 --> 00:57:50.840 align:middle line:90%
Q1.

00:57:50.840 --> 00:57:53.800 align:middle line:84%
So this says, put yourself
in the position of firm 2.

00:57:53.800 --> 00:57:56.778 align:middle line:84%
You've observed how much
firm 1 has brought to market.

00:57:56.778 --> 00:57:59.320 align:middle line:84%
And you've observed that the
amount they've brought to market

00:57:59.320 --> 00:58:00.360 align:middle line:90%
is Q1.

00:58:00.360 --> 00:58:03.440 align:middle line:84%
And now you're choosing
Q2, how much you should

00:58:03.440 --> 00:58:04.920 align:middle line:90%
bring to market yourself.

00:58:04.920 --> 00:58:06.200 align:middle line:90%
So what are you choosing?

00:58:06.200 --> 00:58:10.840 align:middle line:84%
Well, you're going
to maximize over Q2--

00:58:10.840 --> 00:58:13.800 align:middle line:90%
Q2 is what you're choosing--

00:58:13.800 --> 00:58:19.040 align:middle line:90%
pi 2 of Q1, Q2.

00:58:19.040 --> 00:58:21.160 align:middle line:84%
So this is essentially
just what we

00:58:21.160 --> 00:58:24.100 align:middle line:84%
did before when we talked about
computing a best response.

00:58:24.100 --> 00:58:27.180 align:middle line:84%
Given that Q1 is
the amount produced,

00:58:27.180 --> 00:58:31.330 align:middle line:84%
I want to choose Q2 to maximize
my payoff where Q1 appears

00:58:31.330 --> 00:58:32.580 align:middle line:90%
in here because this is fixed.

00:58:32.580 --> 00:58:33.830 align:middle line:90%
I can't control this.

00:58:33.830 --> 00:58:34.890 align:middle line:90%
This is already chosen.

00:58:34.890 --> 00:58:37.130 align:middle line:90%
And this is what I can control.

00:58:37.130 --> 00:58:37.950 align:middle line:90%
And what do we get?

00:58:37.950 --> 00:58:39.810 align:middle line:90%
Well, this is Q2.

00:58:39.810 --> 00:58:41.570 align:middle line:84%
I'm just going to
copy this formula

00:58:41.570 --> 00:58:46.750 align:middle line:84%
but switch it because we're
now focusing on firm 2.

00:58:46.750 --> 00:58:57.690 align:middle line:84%
1 minus Q1 minus Q2 minus
C. And if we use our trick,

00:58:57.690 --> 00:59:00.810 align:middle line:84%
this is something times a
constant minus that something.

00:59:00.810 --> 00:59:03.090 align:middle line:84%
It's always optimal to
just do the something

00:59:03.090 --> 00:59:07.490 align:middle line:84%
the constant-- sorry, this is
Q2 times the constant minus Q2.

00:59:07.490 --> 00:59:11.170 align:middle line:84%
It's always optimal to set Q2
to be the constant divided by 2.

00:59:11.170 --> 00:59:17.930 align:middle line:84%
So what we're going to get is
Q2, maybe I'll say star of Q1

00:59:17.930 --> 00:59:18.910 align:middle line:90%
is equal to--

00:59:18.910 --> 00:59:22.890 align:middle line:90%


00:59:22.890 --> 00:59:24.690 align:middle line:90%
so we're almost there.

00:59:24.690 --> 00:59:27.150 align:middle line:84%
I just mechanically
took a derivative.

00:59:27.150 --> 00:59:30.390 align:middle line:84%
But there is one issue I have
to be a little careful about.

00:59:30.390 --> 00:59:34.450 align:middle line:84%
What if Q1 is
really, really big?

00:59:34.450 --> 00:59:36.280 align:middle line:84%
So now my assumption
that, oh, we

00:59:36.280 --> 00:59:38.030 align:middle line:84%
don't have to worry
about negative prices,

00:59:38.030 --> 00:59:39.870 align:middle line:84%
we don't have to worry
about max or min,

00:59:39.870 --> 00:59:41.970 align:middle line:84%
turns out we have to be
a little bit careful.

00:59:41.970 --> 00:59:43.670 align:middle line:84%
If Q1-- let's just
think it through.

00:59:43.670 --> 00:59:49.450 align:middle line:84%
If Q1 is a billion, what
should firm 2 produce?

00:59:49.450 --> 00:59:52.110 align:middle line:84%
Nothing, because
if Q1 is a billion,

00:59:52.110 --> 00:59:53.930 align:middle line:90%
then the market price is 0.

00:59:53.930 --> 00:59:56.770 align:middle line:84%
My cost is C. So I definitely
don't want to produce anything.

00:59:56.770 --> 00:59:58.970 align:middle line:84%
And unfortunately, it
turns out that if we just

00:59:58.970 --> 01:00:01.065 align:middle line:84%
compute this number and
check if it's positive,

01:00:01.065 --> 01:00:02.190 align:middle line:90%
we'll get the right answer.

01:00:02.190 --> 01:00:03.690 align:middle line:90%
So if it's positive, we're good.

01:00:03.690 --> 01:00:06.410 align:middle line:84%
If it's negative,
we set it to 0.

01:00:06.410 --> 01:00:09.850 align:middle line:84%
And we often-- the notation
I'll use for that is I'll

01:00:09.850 --> 01:00:13.090 align:middle line:84%
put a little plus
at the bottom of it.

01:00:13.090 --> 01:00:15.088 align:middle line:90%
Or-- let me just write--

01:00:15.088 --> 01:00:17.130 align:middle line:84%
I like that notation, but
I think that might just

01:00:17.130 --> 01:00:17.910 align:middle line:90%
cause confusion.

01:00:17.910 --> 01:00:23.698 align:middle line:84%
So let's just write
max of this is 0.

01:00:23.698 --> 01:00:25.930 align:middle line:90%
Need a little more space.

01:00:25.930 --> 01:00:28.370 align:middle line:90%
Getting too cute here.

01:00:28.370 --> 01:00:34.500 align:middle line:84%
So it's the-- we have 1
minus Q1 minus C over 2.

01:00:34.500 --> 01:00:37.300 align:middle line:84%
But if this is negative,
I just want to produce 0.

01:00:37.300 --> 01:00:42.020 align:middle line:84%
So I'm going to write the
maximum of this and 0.

01:00:42.020 --> 01:00:44.440 align:middle line:84%
I could use the plus, but
I think this is clearer.

01:00:44.440 --> 01:00:49.220 align:middle line:90%


01:00:49.220 --> 01:00:51.260 align:middle line:84%
And I wrote Q2 star
just to indicate

01:00:51.260 --> 01:00:55.020 align:middle line:84%
that this is going to be part
of my special backward induction

01:00:55.020 --> 01:00:57.660 align:middle line:90%
strategy profile.

01:00:57.660 --> 01:01:03.180 align:middle line:84%
And let's understand, Q2
star at a particular Q1

01:01:03.180 --> 01:01:04.860 align:middle line:90%
is exactly this number.

01:01:04.860 --> 01:01:06.640 align:middle line:84%
But by going through
this procedure,

01:01:06.640 --> 01:01:09.140 align:middle line:84%
I'm going to obtain
a function Q2 star.

01:01:09.140 --> 01:01:15.760 align:middle line:84%
So Q2 star-- the function
is firm 2's strategy.

01:01:15.760 --> 01:01:20.780 align:middle line:90%


01:01:20.780 --> 01:01:23.800 align:middle line:84%
It's the function where,
whatever Q1 you plug into it,

01:01:23.800 --> 01:01:24.880 align:middle line:90%
this is what you get out.

01:01:24.880 --> 01:01:29.020 align:middle line:90%


01:01:29.020 --> 01:01:31.800 align:middle line:84%
OK, so now we go
one step further.

01:01:31.800 --> 01:01:35.700 align:middle line:90%


01:01:35.700 --> 01:01:36.640 align:middle line:90%
So we work backwards.

01:01:36.640 --> 01:01:40.900 align:middle line:84%
We figured out what happens at
the second stage with firm 2.

01:01:40.900 --> 01:01:44.040 align:middle line:84%
And now we have to figure
out how firm 1 should behave.

01:01:44.040 --> 01:01:57.180 align:middle line:90%


01:01:57.180 --> 01:02:02.900 align:middle line:90%
So now we're at firm 1.

01:02:02.900 --> 01:02:05.160 align:middle line:84%
Technically, we're at
the initial contingency.

01:02:05.160 --> 01:02:07.340 align:middle line:84%
Nothing has really happened
so far in the game.

01:02:07.340 --> 01:02:09.980 align:middle line:90%
And what is firm 1's problem?

01:02:09.980 --> 01:02:13.340 align:middle line:90%
They're maximizing over Q1 what?

01:02:13.340 --> 01:02:17.340 align:middle line:84%
They're choosing Q1
to maximize what?

01:02:17.340 --> 01:02:20.140 align:middle line:90%
Any thoughts here?

01:02:20.140 --> 01:02:23.560 align:middle line:84%
Well, I think the first step
is it's going to be a profit.

01:02:23.560 --> 01:02:26.020 align:middle line:90%
So let's put pi 1 here.

01:02:26.020 --> 01:02:28.590 align:middle line:84%
And if they choose Q1,
well, definitely Q1

01:02:28.590 --> 01:02:30.927 align:middle line:84%
should be the first
component in here.

01:02:30.927 --> 01:02:33.510 align:middle line:84%
But the hard thing is, what do
we put in the second component?

01:02:33.510 --> 01:02:36.850 align:middle line:84%
If I choose Q1,
what will firm 2 do?

01:02:36.850 --> 01:02:37.750 align:middle line:90%
Yes?

01:02:37.750 --> 01:02:39.110 align:middle line:90%
AUDIENCE: [INAUDIBLE]

01:02:39.110 --> 01:02:39.950 align:middle line:90%
IAN BALL: Exactly.

01:02:39.950 --> 01:02:46.710 align:middle line:84%
So what I'll put in
here is Q2 star of Q1.

01:02:46.710 --> 01:02:48.670 align:middle line:84%
So notice what I'm
doing here as firm 1.

01:02:48.670 --> 01:02:50.990 align:middle line:84%
I'm choosing how much
quantity to produce,

01:02:50.990 --> 01:02:54.170 align:middle line:84%
recognizing that
when I choose Q1,

01:02:54.170 --> 01:02:56.150 align:middle line:84%
that's going to directly
affect my payoff.

01:02:56.150 --> 01:02:58.150 align:middle line:84%
But the Q1 I choose
is also going

01:02:58.150 --> 01:03:01.430 align:middle line:84%
to affect how much the
other firm brings to market.

01:03:01.430 --> 01:03:03.270 align:middle line:84%
And specifically,
we can see that this

01:03:03.270 --> 01:03:05.510 align:middle line:90%
is a decreasing function of Q1.

01:03:05.510 --> 01:03:07.850 align:middle line:84%
So the more that
I bring to market,

01:03:07.850 --> 01:03:10.590 align:middle line:84%
the more the next farmer
sees, wow, this person

01:03:10.590 --> 01:03:11.850 align:middle line:90%
brought a lot to market.

01:03:11.850 --> 01:03:14.030 align:middle line:84%
That's really going to
bring down the market price.

01:03:14.030 --> 01:03:15.930 align:middle line:84%
I'm going to bring
less to market.

01:03:15.930 --> 01:03:19.510 align:middle line:84%
So I can influence how much
firm 2 brings to market

01:03:19.510 --> 01:03:22.815 align:middle line:90%
through my choice of Q1.

01:03:22.815 --> 01:03:24.190 align:middle line:84%
And now we're just
going to write

01:03:24.190 --> 01:03:25.990 align:middle line:90%
this, substitute everything in.

01:03:25.990 --> 01:03:29.710 align:middle line:84%
And we'll use the trick that
let's hope that we never

01:03:29.710 --> 01:03:30.448 align:middle line:90%
deal with the 0.

01:03:30.448 --> 01:03:31.990 align:middle line:84%
So let's assume
everything's positive

01:03:31.990 --> 01:03:33.610 align:middle line:84%
and solve it and
see what happens.

01:03:33.610 --> 01:03:38.670 align:middle line:84%
So we're going to get Q1 is
the amount that I produce.

01:03:38.670 --> 01:03:40.510 align:middle line:90%
Then we're going to get--

01:03:40.510 --> 01:03:42.190 align:middle line:84%
maybe I'll write it
really carefully--

01:03:42.190 --> 01:03:50.850 align:middle line:84%
Q1 plus Q2 star of Q1 minus C
because for each unit I produce,

01:03:50.850 --> 01:03:52.510 align:middle line:84%
I have to pay a
cost of C. And I'm

01:03:52.510 --> 01:03:54.010 align:middle line:90%
going to get the market price.

01:03:54.010 --> 01:03:55.010 align:middle line:90%
What's the market price?

01:03:55.010 --> 01:03:57.610 align:middle line:84%
Well, it depends on the
market production level,

01:03:57.610 --> 01:03:59.150 align:middle line:84%
which is the sum
of what I produce

01:03:59.150 --> 01:04:02.590 align:middle line:84%
and what I'm going to
induce firm 2 to produce.

01:04:02.590 --> 01:04:14.190 align:middle line:84%
So this is Q1 times 1 minus Q1
minus Q2 star of Q1 minus C.

01:04:14.190 --> 01:04:16.270 align:middle line:84%
And here, there's
kind of a trick.

01:04:16.270 --> 01:04:22.590 align:middle line:84%
We have 1 minus Q1 minus C
minus, again, 1 minus Q1 minus C

01:04:22.590 --> 01:04:23.510 align:middle line:90%
but over 2.

01:04:23.510 --> 01:04:26.500 align:middle line:84%
So we have 1 minus Q1
minus C minus half of it.

01:04:26.500 --> 01:04:27.620 align:middle line:90%
So we have half left.

01:04:27.620 --> 01:04:34.100 align:middle line:84%
So we're going to get Q1 times
1 minus Q1 minus C over 2.

01:04:34.100 --> 01:04:36.760 align:middle line:90%


01:04:36.760 --> 01:04:39.840 align:middle line:84%
The Q2 star is gone because I
substituted in the expression

01:04:39.840 --> 01:04:41.340 align:middle line:90%
for Q2 star above.

01:04:41.340 --> 01:04:47.240 align:middle line:90%


01:04:47.240 --> 01:04:49.452 align:middle line:84%
And it turns out the half
here doesn't actually

01:04:49.452 --> 01:04:51.160 align:middle line:84%
affect the optimum,
because we could just

01:04:51.160 --> 01:04:52.480 align:middle line:90%
pull out the half to the front.

01:04:52.480 --> 01:04:57.600 align:middle line:84%
And we're going to get Q1
star equals 1 minus C over 2

01:04:57.600 --> 01:04:59.640 align:middle line:90%
if we do the algebra.

01:04:59.640 --> 01:05:01.660 align:middle line:84%
It can be tricky to
see this half here.

01:05:01.660 --> 01:05:04.143 align:middle line:84%
But remember, if we just
put the half in the front,

01:05:04.143 --> 01:05:06.560 align:middle line:84%
you can see-- if we multiply
the objective by a half, that

01:05:06.560 --> 01:05:07.757 align:middle line:90%
doesn't change the optimum.

01:05:07.757 --> 01:05:09.840 align:middle line:84%
It changes the optimal
value, but not the optimum.

01:05:09.840 --> 01:05:13.600 align:middle line:90%
So we'll just get this.

01:05:13.600 --> 01:05:16.440 align:middle line:84%
Now let's be really
clear about this.

01:05:16.440 --> 01:05:19.740 align:middle line:84%
The algorithm has told
us a strategy profile.

01:05:19.740 --> 01:05:22.880 align:middle line:84%
It said firm 1 is
producing this amount,

01:05:22.880 --> 01:05:26.200 align:middle line:84%
and firm 2 is using this
complete contingent plan

01:05:26.200 --> 01:05:29.297 align:middle line:84%
that specifies what they produce
as a function of every Q1.

01:05:29.297 --> 01:05:30.880 align:middle line:84%
But now we'd like
to understand, well,

01:05:30.880 --> 01:05:32.680 align:middle line:90%
how much is actually produced?

01:05:32.680 --> 01:05:36.900 align:middle line:84%
Because all we know is firm
2's complete contingent plan.

01:05:36.900 --> 01:05:39.680 align:middle line:84%
Let's figure out the actual
production level for firm 2.

01:05:39.680 --> 01:05:40.780 align:middle line:90%
What is that going to be?

01:05:40.780 --> 01:05:44.920 align:middle line:90%


01:05:44.920 --> 01:05:47.040 align:middle line:90%
Well, we need to plug in--

01:05:47.040 --> 01:05:49.800 align:middle line:84%
what I want to
look at is Q2 star

01:05:49.800 --> 01:05:53.600 align:middle line:84%
is the strategy that backward
induction gave us for firm 2.

01:05:53.600 --> 01:05:56.680 align:middle line:84%
But now I'm going to plug into
that function the strategy

01:05:56.680 --> 01:05:58.880 align:middle line:84%
that backward induction
gave us for firm 1, which

01:05:58.880 --> 01:06:02.240 align:middle line:90%
is just a number, the quantity.

01:06:02.240 --> 01:06:04.400 align:middle line:84%
And this is going to tell
me how much is actually

01:06:04.400 --> 01:06:09.080 align:middle line:84%
produced as opposed to firm
2's complete contingent plan.

01:06:09.080 --> 01:06:14.540 align:middle line:84%
And I have to--
little careful here.

01:06:14.540 --> 01:06:18.860 align:middle line:84%
It's 1 minus C over
2 minus quarter.

01:06:18.860 --> 01:06:21.670 align:middle line:84%
And I think it should
be 1 minus C over 4.

01:06:21.670 --> 01:06:25.490 align:middle line:90%


01:06:25.490 --> 01:06:30.330 align:middle line:90%
So now we've analyzed the game.

01:06:30.330 --> 01:06:32.910 align:middle line:84%
But now we can ask-- we've
analyzed it mathematically.

01:06:32.910 --> 01:06:36.090 align:middle line:84%
Let's ask some econ
questions about it.

01:06:36.090 --> 01:06:39.930 align:middle line:84%
And in particular, we've looked
at how much each firm produces

01:06:39.930 --> 01:06:41.290 align:middle line:90%
in the equilibrium.

01:06:41.290 --> 01:06:45.090 align:middle line:84%
Does anyone recall, if we
did Cournot with two firms,

01:06:45.090 --> 01:06:48.196 align:middle line:90%
how much each firm produced?

01:06:48.196 --> 01:06:49.427 align:middle line:90%
Anyone remember?

01:06:49.427 --> 01:06:51.010 align:middle line:84%
We had the same--
were the same demand

01:06:51.010 --> 01:06:52.350 align:middle line:90%
function, and the same costs.

01:06:52.350 --> 01:06:56.210 align:middle line:90%


01:06:56.210 --> 01:06:56.862 align:middle line:90%
No?

01:06:56.862 --> 01:06:57.570 align:middle line:90%
I'll just say it.

01:06:57.570 --> 01:06:59.030 align:middle line:90%
It's 1 minus C over 3.

01:06:59.030 --> 01:07:03.062 align:middle line:90%


01:07:03.062 --> 01:07:06.510 align:middle line:84%
So can anyone comment
on the differences here?

01:07:06.510 --> 01:07:13.550 align:middle line:84%
So in Cournot, Q1 star equals
Q2 star equals 1 minus C over 3.

01:07:13.550 --> 01:07:15.610 align:middle line:84%
So when the firms
move simultaneously,

01:07:15.610 --> 01:07:18.290 align:middle line:84%
they both produced
1 minus C over 3.

01:07:18.290 --> 01:07:20.330 align:middle line:84%
When the firms
move sequentially,

01:07:20.330 --> 01:07:22.250 align:middle line:84%
firm 1 produced
1 minus C over 2,

01:07:22.250 --> 01:07:27.490 align:middle line:84%
and firm 2 produced
1 minus C over 4.

01:07:27.490 --> 01:07:32.378 align:middle line:84%
Any intuition for
why we get this?

01:07:32.378 --> 01:07:33.670 align:middle line:90%
What's the key difference here?

01:07:33.670 --> 01:07:36.010 align:middle line:84%
Let's think of it from
firm 1's perspective.

01:07:36.010 --> 01:07:40.850 align:middle line:84%
What's the key difference in
firm 1's optimization problem

01:07:40.850 --> 01:07:43.622 align:middle line:84%
between the simultaneous-move
Cournot game

01:07:43.622 --> 01:07:44.830 align:middle line:90%
and the sequential-move game?

01:07:44.830 --> 01:07:46.622 align:middle line:84%
Remember, we already
saw in the Boston game

01:07:46.622 --> 01:07:48.330 align:middle line:84%
that simultaneity
versus sequential play

01:07:48.330 --> 01:07:50.570 align:middle line:90%
can have a big difference.

01:07:50.570 --> 01:07:51.570 align:middle line:90%
Yeah?

01:07:51.570 --> 01:07:53.430 align:middle line:84%
AUDIENCE: Maybe in
the Cournot game,

01:07:53.430 --> 01:07:56.230 align:middle line:84%
they both know that they're
choosing the same quantity.

01:07:56.230 --> 01:07:59.930 align:middle line:84%
So they have to keep in mind
that the other person could

01:07:59.930 --> 01:08:03.110 align:middle line:84%
be doing the same thing
while the other [INAUDIBLE].

01:08:03.110 --> 01:08:05.710 align:middle line:84%
IAN BALL: Stackelberg or
sequential quantity competition?

01:08:05.710 --> 01:08:06.510 align:middle line:90%
Yeah.

01:08:06.510 --> 01:08:09.130 align:middle line:84%
AUDIENCE: [INAUDIBLE]
player 1 knows [INAUDIBLE]

01:08:09.130 --> 01:08:10.730 align:middle line:90%
player 2's going to know.

01:08:10.730 --> 01:08:13.928 align:middle line:84%
Player 2's obviously not
going to [INAUDIBLE].

01:08:13.928 --> 01:08:16.470 align:middle line:84%
IAN BALL: So I think the one
word you said there was crucial.

01:08:16.470 --> 01:08:18.138 align:middle line:84%
You said firm 1 can
influence firm 2,

01:08:18.138 --> 01:08:19.680 align:middle line:84%
and I think that's
the crucial thing.

01:08:19.680 --> 01:08:21.580 align:middle line:84%
So let's think about
the Nash equilibrium

01:08:21.580 --> 01:08:22.939 align:middle line:90%
reasoning in Cournot.

01:08:22.939 --> 01:08:26.020 align:middle line:84%
In Cournot, I'm taking
as given the amount

01:08:26.020 --> 01:08:27.427 align:middle line:90%
that my opponent is producing.

01:08:27.427 --> 01:08:29.760 align:middle line:84%
And I'm saying, given the
amount that they're producing,

01:08:29.760 --> 01:08:31.500 align:middle line:84%
the amount that I'm
producing is optimal,

01:08:31.500 --> 01:08:33.899 align:middle line:84%
taking as fixed the
amount they produce.

01:08:33.899 --> 01:08:35.420 align:middle line:84%
Here, it's
fundamentally different

01:08:35.420 --> 01:08:39.380 align:middle line:84%
because, because I move first, I
know that my choice of quantity

01:08:39.380 --> 01:08:41.120 align:middle line:90%
affects how much they produce.

01:08:41.120 --> 01:08:43.700 align:middle line:84%
So I know if I
increase my production,

01:08:43.700 --> 01:08:46.200 align:middle line:84%
I can cause them to
decrease their production.

01:08:46.200 --> 01:08:49.000 align:middle line:84%
So that makes more production
for firm 1 more attractive.

01:08:49.000 --> 01:08:51.143 align:middle line:84%
In general, I don't
want the other person

01:08:51.143 --> 01:08:53.060 align:middle line:84%
to produce because that
brings down the price.

01:08:53.060 --> 01:08:55.880 align:middle line:84%
So if I know that by
raising my production,

01:08:55.880 --> 01:08:57.779 align:middle line:84%
I can decrease their
production, that

01:08:57.779 --> 01:09:02.500 align:middle line:84%
gives me a further incentive for
me to raise my production level.

01:09:02.500 --> 01:09:05.220 align:middle line:84%
So that's why firm
1 produces more.

01:09:05.220 --> 01:09:07.760 align:middle line:84%
Firm 2's choices actually
looks very similar.

01:09:07.760 --> 01:09:10.240 align:middle line:84%
Firm 2 takes firm 1's
quantity as given.

01:09:10.240 --> 01:09:12.620 align:middle line:84%
So firm 1's incentives are
essentially the same-- sorry,

01:09:12.620 --> 01:09:15.319 align:middle line:84%
firm 2's incentives are
essentially the same.

01:09:15.319 --> 01:09:17.740 align:middle line:84%
But the issue is firm 1
is producing so much more.

01:09:17.740 --> 01:09:21.240 align:middle line:84%
It's optimal for them to produce
a lot less than in Cournot.

01:09:21.240 --> 01:09:24.779 align:middle line:90%


01:09:24.779 --> 01:09:25.880 align:middle line:90%
So what's key?

01:09:25.880 --> 01:09:28.160 align:middle line:84%
The key word you
used is "influence."

01:09:28.160 --> 01:09:30.700 align:middle line:90%


01:09:30.700 --> 01:09:36.540 align:middle line:84%
Can my quantity influence
the quantity that you choose?

01:09:36.540 --> 01:09:38.180 align:middle line:84%
All right, so now
we've found-- we've

01:09:38.180 --> 01:09:39.720 align:middle line:90%
applied backward induction.

01:09:39.720 --> 01:09:42.740 align:middle line:84%
We found a particular
Nash equilibrium

01:09:42.740 --> 01:09:44.000 align:middle line:90%
that seems reasonable to us.

01:09:44.000 --> 01:09:46.083 align:middle line:84%
It doesn't involve any
credible-- any non-credible

01:09:46.083 --> 01:09:46.620 align:middle line:90%
threats.

01:09:46.620 --> 01:09:48.120 align:middle line:84%
But it's still good
to keep in mind,

01:09:48.120 --> 01:09:51.260 align:middle line:84%
could we find any other
Nash equilibria that

01:09:51.260 --> 01:09:52.760 align:middle line:90%
do involve credible threats?

01:09:52.760 --> 01:10:03.700 align:middle line:90%


01:10:03.700 --> 01:10:09.145 align:middle line:84%
So could we find
other Nash equilibria

01:10:09.145 --> 01:10:11.020 align:middle line:84%
that maybe we don't find
compelling, but just

01:10:11.020 --> 01:10:13.640 align:middle line:84%
to understand what's
going on here?

01:10:13.640 --> 01:10:17.095 align:middle line:84%
What would be a threat that
firm 2 might be tempted to make?

01:10:17.095 --> 01:10:18.470 align:middle line:84%
If we think back
to our reasoning

01:10:18.470 --> 01:10:20.630 align:middle line:84%
about-- we gave the
example of, I'll

01:10:20.630 --> 01:10:23.710 align:middle line:84%
threaten to always go to the
Red Sox game whatever you do.

01:10:23.710 --> 01:10:25.590 align:middle line:84%
What might be a threat
that firm 2 might

01:10:25.590 --> 01:10:28.730 align:middle line:84%
want to impose to try
to benefit themselves,

01:10:28.730 --> 01:10:30.090 align:middle line:90%
if we had a very smart firm 2?

01:10:30.090 --> 01:10:30.350 align:middle line:90%
Yeah?

01:10:30.350 --> 01:10:31.767 align:middle line:84%
AUDIENCE: Make a
threat to produce

01:10:31.767 --> 01:10:34.910 align:middle line:84%
a lot to drive the price
down so that firm 1 won't

01:10:34.910 --> 01:10:37.528 align:middle line:84%
make any money, and then, yeah,
they're both just worse off.

01:10:37.528 --> 01:10:38.570 align:middle line:90%
IAN BALL: Great, exactly.

01:10:38.570 --> 01:10:41.990 align:middle line:90%
So firm 2 can make a threat.

01:10:41.990 --> 01:10:45.310 align:middle line:84%
Firm 2 might threaten--
there's even a term for this--

01:10:45.310 --> 01:10:47.390 align:middle line:84%
to flood the market,
meaning produce

01:10:47.390 --> 01:10:50.130 align:middle line:84%
a huge amount of quantity to
pull down the market price.

01:10:50.130 --> 01:11:02.550 align:middle line:90%


01:11:02.550 --> 01:11:03.730 align:middle line:90%
But let's say a little more.

01:11:03.730 --> 01:11:05.130 align:middle line:84%
When would they
want to impose this?

01:11:05.130 --> 01:11:06.210 align:middle line:84%
When would they
flood the market?

01:11:06.210 --> 01:11:08.250 align:middle line:84%
Under what conditions
or what circumstances?

01:11:08.250 --> 01:11:13.350 align:middle line:90%


01:11:13.350 --> 01:11:16.750 align:middle line:84%
What does firm 2
want firm 1 to do?

01:11:16.750 --> 01:11:19.420 align:middle line:90%
Produce a lot or a little?

01:11:19.420 --> 01:11:21.170 align:middle line:84%
You can answer or
someone else can answer.

01:11:21.170 --> 01:11:21.510 align:middle line:90%
Yeah?

01:11:21.510 --> 01:11:24.070 align:middle line:84%
AUDIENCE: Well, I guess firm
2 would want firm 1 to produce

01:11:24.070 --> 01:11:25.410 align:middle line:90%
1 minus C over 3.

01:11:25.410 --> 01:11:25.910 align:middle line:90%
But--

01:11:25.910 --> 01:11:27.150 align:middle line:84%
IAN BALL: Or in
general, they actually

01:11:27.150 --> 01:11:28.370 align:middle line:84%
might want them to
produce either even less.

01:11:28.370 --> 01:11:30.370 align:middle line:84%
But in general, they want
them to produce not very much.

01:11:30.370 --> 01:11:32.310 align:middle line:84%
So when would they
threaten-- when would they

01:11:32.310 --> 01:11:33.018 align:middle line:90%
flood the market?

01:11:33.018 --> 01:11:33.830 align:middle line:90%
Under what--

01:11:33.830 --> 01:11:34.670 align:middle line:84%
AUDIENCE: When they
produce too much.

01:11:34.670 --> 01:11:36.212 align:middle line:84%
IAN BALL: When they
produce too much.

01:11:36.212 --> 01:11:38.430 align:middle line:84%
So what firm 2 might
say is, look, you better

01:11:38.430 --> 01:11:43.130 align:middle line:84%
keep your production level low
because if you produce too much,

01:11:43.130 --> 01:11:44.490 align:middle line:90%
I'm going to flood the market.

01:11:44.490 --> 01:11:46.510 align:middle line:84%
So firm 2 might threaten
to flood the market

01:11:46.510 --> 01:11:50.650 align:middle line:90%
if firm 1 produces too much.

01:11:50.650 --> 01:11:55.350 align:middle line:90%


01:11:55.350 --> 01:11:58.790 align:middle line:84%
And this actually gets into
dynamics that we'll study later.

01:11:58.790 --> 01:12:01.290 align:middle line:84%
Oil cartels essentially
function exactly in this way.

01:12:01.290 --> 01:12:03.450 align:middle line:84%
I might say, you need
to keep production low,

01:12:03.450 --> 01:12:04.750 align:middle line:84%
and if you don't, I'm
going to punish you

01:12:04.750 --> 01:12:05.880 align:middle line:90%
by flooding the market Yes?

01:12:05.880 --> 01:12:08.130 align:middle line:84%
AUDIENCE: How would this be
a credible threat, though?

01:12:08.130 --> 01:12:10.580 align:middle line:84%
Because firms 2 loses
money by flooding.

01:12:10.580 --> 01:12:12.580 align:middle line:84%
IAN BALL: So this will
not be a credible threat.

01:12:12.580 --> 01:12:15.403 align:middle line:84%
That's why it didn't survive our
backward induction procedure.

01:12:15.403 --> 01:12:16.820 align:middle line:84%
But it will be a
Nash equilibrium.

01:12:16.820 --> 01:12:19.400 align:middle line:84%
So what I want to illustrate
is how a Nash equilibrium can

01:12:19.400 --> 01:12:21.280 align:middle line:90%
involve non-credible threats.

01:12:21.280 --> 01:12:24.740 align:middle line:84%
Backward induction rules out
those non-credible threats,

01:12:24.740 --> 01:12:26.360 align:middle line:84%
but Nash equilibrium
can allow them

01:12:26.360 --> 01:12:28.400 align:middle line:90%
if we design them carefully.

01:12:28.400 --> 01:12:29.100 align:middle line:90%
Other question?

01:12:29.100 --> 01:12:29.600 align:middle line:90%
Yeah?

01:12:29.600 --> 01:12:32.440 align:middle line:84%
AUDIENCE: If you remove some
of the simplifying assumptions

01:12:32.440 --> 01:12:34.920 align:middle line:84%
we make for this, can you
make it a credible threat

01:12:34.920 --> 01:12:38.080 align:middle line:84%
with things like infrastructure
and capital investments

01:12:38.080 --> 01:12:39.397 align:middle line:90%
in production capacity?

01:12:39.397 --> 01:12:41.480 align:middle line:84%
IAN BALL: I think the best
way to make it credible

01:12:41.480 --> 01:12:42.820 align:middle line:84%
would be to say it's
a repeated game,

01:12:42.820 --> 01:12:44.080 align:middle line:84%
and that's what
we'll study later on.

01:12:44.080 --> 01:12:45.640 align:middle line:84%
We're assuming it's
a one-off thing.

01:12:45.640 --> 01:12:48.900 align:middle line:84%
But really what might happen
is, every day we come to market,

01:12:48.900 --> 01:12:51.400 align:middle line:84%
and I might say, well, if day
after day you keep doing this,

01:12:51.400 --> 01:12:52.483 align:middle line:90%
then I'm going to do this.

01:12:52.483 --> 01:12:54.400 align:middle line:84%
And then we can get
these complicated rewards

01:12:54.400 --> 01:12:55.500 align:middle line:90%
and punishments over time.

01:12:55.500 --> 01:12:57.080 align:middle line:84%
And that's going to be a
big focus of the second part

01:12:57.080 --> 01:12:58.000 align:middle line:90%
of our course.

01:12:58.000 --> 01:12:59.340 align:middle line:84%
So that's a good way
to make it credible.

01:12:59.340 --> 01:12:59.640 align:middle line:90%
Yes?

01:12:59.640 --> 01:13:01.420 align:middle line:84%
AUDIENCE: If it were
a Nash equilibrium--

01:13:01.420 --> 01:13:02.860 align:middle line:90%
so this is a Nash equilibrium.

01:13:02.860 --> 01:13:04.920 align:middle line:84%
Is it the idea that
firm 1, knowing

01:13:04.920 --> 01:13:07.220 align:middle line:84%
firm 2 can threaten the
market, will deviate?

01:13:07.220 --> 01:13:08.720 align:middle line:84%
IAN BALL: Exactly,
so let's actually

01:13:08.720 --> 01:13:10.000 align:middle line:84%
construct our Nash
equilibrium because we

01:13:10.000 --> 01:13:11.220 align:middle line:90%
haven't constructed one yet.

01:13:11.220 --> 01:13:18.760 align:middle line:84%
So let's fix some number,
Q1, which is, let's say,

01:13:18.760 --> 01:13:20.080 align:middle line:90%
really small.

01:13:20.080 --> 01:13:26.980 align:middle line:84%
So let's say-- it doesn't really
matter exactly, but we do--

01:13:26.980 --> 01:13:32.440 align:middle line:90%


01:13:32.440 --> 01:13:34.560 align:middle line:84%
yeah, let's say
1 minus C over 4.

01:13:34.560 --> 01:13:36.640 align:middle line:90%
It doesn't matter.

01:13:36.640 --> 01:13:41.060 align:middle line:84%
And now what is Q2
star going to be?

01:13:41.060 --> 01:13:50.080 align:middle line:90%


01:13:50.080 --> 01:13:53.883 align:middle line:84%
Well, let's use our
idea that-- there's

01:13:53.883 --> 01:13:55.300 align:middle line:84%
a few different
ways we can do it,

01:13:55.300 --> 01:13:56.280 align:middle line:84%
but let's use an
idea that they're

01:13:56.280 --> 01:13:58.405 align:middle line:84%
going to threaten to flood
the market if production

01:13:58.405 --> 01:14:00.280 align:middle line:90%
is too high.

01:14:00.280 --> 01:14:02.280 align:middle line:90%
So let's look at two cases.

01:14:02.280 --> 01:14:07.200 align:middle line:84%
If Q1 is less than--
let me call this Q1 bar.

01:14:07.200 --> 01:14:12.330 align:middle line:84%
If Q1 is less than Q1 bar and
if Q1 is greater than or--

01:14:12.330 --> 01:14:16.010 align:middle line:84%
less than or equal to
and greater than Q1.

01:14:16.010 --> 01:14:18.890 align:middle line:84%
So if Q1 is greater
than Q1 bar, firm 2

01:14:18.890 --> 01:14:20.170 align:middle line:90%
is going to flood the market.

01:14:20.170 --> 01:14:21.910 align:middle line:84%
Again, the exact
amount doesn't matter.

01:14:21.910 --> 01:14:23.030 align:middle line:90%
Let's say 100.

01:14:23.030 --> 01:14:23.790 align:middle line:90%
It doesn't matter.

01:14:23.790 --> 01:14:27.210 align:middle line:90%


01:14:27.210 --> 01:14:29.625 align:middle line:84%
What if Q1 is less than
or equal to Q1 bar?

01:14:29.625 --> 01:14:31.250 align:middle line:84%
We actually have to
be a little careful

01:14:31.250 --> 01:14:33.042 align:middle line:84%
to make sure it's still
a Nash equilibrium.

01:14:33.042 --> 01:14:40.610 align:middle line:84%
So let's follow our idea here,
and let's make this 1 minus Q1

01:14:40.610 --> 01:14:45.490 align:middle line:90%
minus C over 2.

01:14:45.490 --> 01:14:46.420 align:middle line:90%
There's many examples.

01:14:46.420 --> 01:14:48.670 align:middle line:84%
And we could figure out
exactly how big Q1 bar can go.

01:14:48.670 --> 01:14:49.990 align:middle line:84%
But I think this
one should work.

01:14:49.990 --> 01:14:51.948 align:middle line:84%
And let's just see that
we understand that this

01:14:51.948 --> 01:14:53.890 align:middle line:90%
is a Nash equilibrium.

01:14:53.890 --> 01:14:58.910 align:middle line:84%
So given Q2's strategy, why is
this the optimal choice of Q1?

01:14:58.910 --> 01:15:00.810 align:middle line:90%
Can anyone explain in words?

01:15:00.810 --> 01:15:03.150 align:middle line:84%
I mean, we see the math, but
can we explain it in words?

01:15:03.150 --> 01:15:06.930 align:middle line:90%


01:15:06.930 --> 01:15:09.490 align:middle line:84%
Well, why don't I want to
produce more than this?

01:15:09.490 --> 01:15:10.070 align:middle line:90%
Yeah?

01:15:10.070 --> 01:15:11.170 align:middle line:84%
AUDIENCE: That's
the most you can

01:15:11.170 --> 01:15:12.910 align:middle line:84%
produce without the
market getting flooded.

01:15:12.910 --> 01:15:13.660 align:middle line:90%
IAN BALL: Exactly.

01:15:13.660 --> 01:15:16.630 align:middle line:84%
So if I produce-- it's the most
I can produce without flooding.

01:15:16.630 --> 01:15:19.090 align:middle line:84%
And you can check that, when
the market's not flooded,

01:15:19.090 --> 01:15:21.010 align:middle line:84%
my payoff is going
to be increasing

01:15:21.010 --> 01:15:22.230 align:middle line:90%
at least until this point.

01:15:22.230 --> 01:15:25.550 align:middle line:84%
So if I produce less than this,
the market doesn't get flooded.

01:15:25.550 --> 01:15:27.770 align:middle line:84%
But I'm producing so little,
I'm not doing very well.

01:15:27.770 --> 01:15:29.272 align:middle line:84%
If I produce more
than this, that

01:15:29.272 --> 01:15:31.230 align:middle line:84%
would be good if the
market didn't get flooded.

01:15:31.230 --> 01:15:33.750 align:middle line:84%
But if I produce more than
this, the market gets flooded,

01:15:33.750 --> 01:15:35.030 align:middle line:90%
so I don't want to do it.

01:15:35.030 --> 01:15:39.770 align:middle line:84%
So player 1 is behaving optimal
given firm 2's strategy.

01:15:39.770 --> 01:15:42.450 align:middle line:84%
How can we see that firm 2 is
behaving optimally given firm

01:15:42.450 --> 01:15:43.070 align:middle line:90%
1's strategy?

01:15:43.070 --> 01:15:45.090 align:middle line:84%
What's the one--
the only one aspect

01:15:45.090 --> 01:15:46.570 align:middle line:84%
of this strategy
that's important

01:15:46.570 --> 01:15:50.890 align:middle line:84%
if we want to check that
it's a Nash equilibrium?

01:15:50.890 --> 01:15:53.730 align:middle line:84%
What's important is,
when firm 1 chooses

01:15:53.730 --> 01:16:00.010 align:middle line:84%
Q1 bar, which is in this case--
firm 2 responds optimally

01:16:00.010 --> 01:16:02.537 align:middle line:84%
because that's the only thing
that affects firm 2's payoff,

01:16:02.537 --> 01:16:04.870 align:middle line:84%
what they do in the contingency
that's actually reached.

01:16:04.870 --> 01:16:07.620 align:middle line:84%
So you can check that, given
that firm 1 is producing

01:16:07.620 --> 01:16:11.260 align:middle line:84%
this amount, firm 2 is going to
produce 1 minus Q1 bar minus C

01:16:11.260 --> 01:16:11.880 align:middle line:90%
over 2.

01:16:11.880 --> 01:16:14.180 align:middle line:84%
And it turns out that's
optimal for firm 2 given firm

01:16:14.180 --> 01:16:15.120 align:middle line:90%
1's behavior.

01:16:15.120 --> 01:16:16.820 align:middle line:84%
So this will be a
Nash equilibrium.

01:16:16.820 --> 01:16:20.840 align:middle line:84%
But it doesn't survive
backward induction.

01:16:20.840 --> 01:16:24.720 align:middle line:84%
What is a contingency at which
firm 2 is behaving suboptimally?

01:16:24.720 --> 01:16:29.220 align:middle line:90%


01:16:29.220 --> 01:16:31.540 align:middle line:84%
Well, really anything
up here-- actually,

01:16:31.540 --> 01:16:32.960 align:middle line:84%
not if Q1 is
really, really high.

01:16:32.960 --> 01:16:39.140 align:middle line:84%
But if Q1 is anywhere
between Q1 bar and 1 minus C,

01:16:39.140 --> 01:16:42.660 align:middle line:84%
firm 2 could respond and
make positive profits,

01:16:42.660 --> 01:16:44.600 align:middle line:84%
but they're instead
flooding the market,

01:16:44.600 --> 01:16:47.620 align:middle line:84%
causing the price to drop to
0, and making profits of 0.

01:16:47.620 --> 01:16:51.360 align:middle line:84%
So at unreached contingencies,
firm 2 is behaving suboptimally.

01:16:51.360 --> 01:16:53.560 align:middle line:84%
That's why this doesn't
survive backward induction.

01:16:53.560 --> 01:16:56.318 align:middle line:84%
But at the reached contingency,
they are behaving optimally.

01:16:56.318 --> 01:16:58.360 align:middle line:84%
And that's why it constitutes
a Nash equilibrium.

01:16:58.360 --> 01:17:00.527 align:middle line:84%
And let me stop there, and
I'll see you on Thursday.

01:17:00.527 --> 01:17:02.330 align:middle line:90%
Thank you.

01:17:02.330 --> 01:17:05.000 align:middle line:90%