9.66J | Fall 2004 | Undergraduate

Computational Cognitive Science

Lecture Notes



This file explains how recent work in computation (AI, machine learning, statistics) can inform some of the core questions of cognitive science. It also includes the following topics: The problem of induction, induction versus Deduction, the great problem of philosophy, computational approaches to induction, structure versus statistics, cognition as inductive inference, learning concepts and words from examples, visual perception, apparent motion, Marr’s three levels, some philosophical puzzles, Hume’s problem, Goodman’s problem, syntactic levers for induction, the legacy of Plato, Fodor’s critique, and how do theories work.

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Lecture Notes