6.034 Artificial Intelligence
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.
This class has 6.0001 as a prerequisite.
Lecture occurs 10:00 AM to 11:00 AM on Mondays, Wednesdays and Fridays in 10-250.
This class counts for a total of 12 credits.
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