Artificial Intelligence
6.034 · Electrical Engineering and Computer Science · Undergraduate · Spring 2005
Prof. Leslie Kaelbling, Prof. Tomás Lozano-Pérez
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.
The syllabus, on MIT OpenCourseWare
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Attribution
Prof. Leslie Kaelbling, Prof. Tomás Lozano-Pérez. 6.034 Artificial Intelligence. Spring 2005. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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