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.)


MIT Course Number


As Taught In

Spring 2005



Cite This Course

Course Description

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.

Other Versions

Other OCW Versions

OCW has published multiple versions of this subject. Question_OVT logo

Archived versions: Question_avt logo

Related Content

Leslie Kaelbling, and Tomás Lozano-Pérez. 6.034 Artificial Intelligence. Spring 2005. Massachusetts Institute of Technology: MIT OpenCourseWare, License: Creative Commons BY-NC-SA.

For more information about using these materials and the Creative Commons license, see our Terms of Use.