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)
Prof. Leslie Kaelbling
Prof. Tomás Lozano-Pérez
MIT Course Number
6.034
As Taught In
Spring 2005
Level
Undergraduate
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
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