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Notes on MIT 6.034 Artificial Intelligence

Lecture videos, programming assignments, and exam papers for MIT's Artificial Intelligence course are available online. These are my notes from "taking" the course.

Lecture 1: Introduction and Scope

This course, and every subject at MIT, is based around making models. Professor Winston explains that this course will teach:

Algorithms enabled by

Constraints evolved by

Representations that support

Models targeted at

Thinking, Perception, Action.

Thinking, Perception, and Action are the end goals of AI. We need algorithms that work within constraints, and represent models of our problems in order to make headway.

Good representations are the key to good problem solving

Generate and Test

Once we have a good representation, we can try and find an acceptable solution.

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