Artificial Intelligence

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.)

Instructor(s)

MIT Course Number

6.034

As Taught In

Spring 2005

Level

Undergraduate

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Course Features

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.

Kaelbling, Leslie, and Tomás Lozano-Pérez. 6.034 Artificial Intelligence, Spring 2005. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-spring-2005 (Accessed). License: Creative Commons BY-NC-SA


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