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6.034 Artificial Intelligence, Spring 2005

A decision tree from chapter 4 of the lecture notes.

An example of a decision tree from chapter 4 (Learning Introduction) of the lecture notes section. (Image by Prof. Tomás Lozano-Pérez and Prof. Leslie Kaelbling.)

Highlights of this Course

This course features a complete set of lecture notes. In addition, the exams section contains quizzes with solutions.

Course Description

This course introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. This course also explores applications of rule chaining, heuristic search, logic, constraint propagation, constrained search, and other problem-solving paradigms. In addition, it covers applications of decision trees, neural nets, SVMs and other learning paradigms.
 

Staff

Instructors:
Prof. Tomás Lozano-Pérez
Prof. Leslie Kaelbling

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Recitations:
One session / week
1 hour / session

Level

Undergraduate

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