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6.034 Artificial Intelligence
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Undergrad (Fall)
(Subject meets with 6.844)
Prereq: 6.0001
Units: 4-3-5
Lecture: MWF10 (26-100) Recitation: F11 (38-166, 24-121, 4-153, 4-159) or F12 (38-166, 24-121, 26-322, 4-153) or F1 (24-121, 26-322, 26-314, 4-145) or F2 (4-145, 36-112, 26-322, 34-304) or F3 (34-303, 36-372, 36-112, 36-144) or F4 (36-372, 36-112, 36-144) +final
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Introduces representations, methods, and architectures used to build applications and to account for human intelligence from a computational point of view. Covers applications of rule chaining, constraint propagation, constrained search, inheritance, statistical inference, and other problem-solving paradigms. Also addresses applications of identification trees, neural nets, genetic algorithms, support-vector machines, boosting, and other learning paradigms. Considers what separates human intelligence from that of other animals. Students taking graduate version complete additional assignments.
K. Koile
No textbook information available