Unless otherwise noted, the readings below are from the course textbook:
Winston, Patrick Henry. Artificial Intelligence. 3rd ed. Addison-Wesley, 1992. ISBN: 9780201533774.
Additional resources, where relevant, are listed with the respective Lecture Videos under the “Related Resources” tab.
LEC # | TOPICS | READINGS |
---|---|---|
1 | Introduction and scope | |
2 | Reasoning: goal trees and problem solving | Application: Symbolic Integration, p. 61. |
3 | Reasoning: goal trees and rule-based expert systems | Chapter 3, pp. 53–60. |
4 | Search: depth-first, hill climbing, beam | Chapter 4 |
5 | Search: optimal, branch and bound, A* | Chapter 5 |
6 | Search: games, minimax, and alpha-beta | Chapter 6 |
7 | Constraints: interpreting line drawings | Chapter 12 |
8 | Constraints: search, domain reduction | |
9 | Constraints: visual object recognition | Chapter 26 |
10 | Introduction to learning, nearest neighbors | Chapter 19 |
11 | Learning: identification trees, disorder | Chapter 21 |
12 | Learning: neural nets, back propagation | Neural net notes (PDF) |
13 | Learning: genetic algorithms | Chapter 25 |
14 | Learning: sparse spaces, phonology | Yip, Kenneth, and Gerald Jay Sussman. “Sparse Representations for Fast, One-Shot Learning.” (PDF) |
15 | Learning: near misses, felicity conditions | Chapter 16 |
16 | Learning: support vector machines | Support vector machine slides (PDF) |
17 | Learning: boosting |
Boosting notes (PDF) (Courtesy of Patrick Winston and Luis Ortiz. Used with permission.) Schapire, Robert. “The Boosting Approach to Machine Learning: An Overview.” MSRI Workshop on Nonlinear Estimation and Classification, 2002. (PDF) |
18 | Representations: classes, trajectories, transitions | Chapter 9 |
19 | Architectures: GPS, SOAR, Subsumption, Society of Mind |
Lehman, Jill, John Laird, and Paul Rosenbloom. “A Gentle Introduction to Soar, An Architecture for Human Cognition: 2006 Update.” (PDF) Brooks, Rodney. “Intelligence Without Representation.” Artificial Intelligence 47 (1991): 139–59. Winston, Patrick Henry. “S3, Taking Machine Intelligence to the Next, Much Higher Level.” (PDF) |
20 | The AI business | |
21 | Probabilistic inference I | |
22 | Probabilistic inference II | Probabilistic inference notes (PDF) |
23 | Model merging, cross-modal coupling, course summary | Coen, Michael. “Self-Supervised Acquisition of Vowels in American English.” (PDF - 4.8MB) AAAI Proceedings of the 21st National Conference on Artificial Intelligence 2 (2006). |