E E C S  MIT Electrical Engineering and Computer Science

Spring 2001 Catalogue Supplement

6.891 Techniques in Artificial Intelligence (H)

MW 11-12:30, Room 26-168
Professor Leslie Kaelbling, Room NE43-765, 8-9695
Prereq.: 6.042J (6.046J and 6.034 desirable) or equivalent
3-0-9

A graduate-level introduction to artificial intelligence. Topics include: representation and inference in first-order logic; modern deterministic and decision-theoretic planning techniques; basic supervised learning methods; and Bayesian network inference and learning.


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Editor: Lisa A. Bella   |   Created: Dec 5, 2000   |   Modified: Dec 5, 2000
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