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MIT Electrical Engineering and Computer Science
Fall 2000 Catalogue Supplement |
MW 11-12:30, Room 33-418
Profs. Brian Williams, Room 37-381, x3-2739, and Leslie Kaelbling, Room NE43-765, x8-9695
Prereq.: 6.041, 6.034 or permission of instructor
3-0-9
Does not count as an Engineering Concentration Subject
Algorithms and pardigms for developing embedded systems that are able to operate autonomously for years at a time within harsh and uncertain environments. Focus on systems that demonstrate high levels of deduction and adaptation. Draws upon a diverse set of computational methods from artificial intelligence, operations research, software engineering and control. Topics: real-time deduction and search; automated planning; scheduling and execution; model-based diagnosis and failure recovery; reactive planning; Bayesian inference; decision theoretic planning; hybrid systems and agent architectures.