6.S899 Artificial Intelligence (meets with 6.034)


Graduate Level (meets with 6.034)
Prereq: 6.0001
Units: 4-3-5
Lecture Schedule: MWF10, room 10-250
Section Schedule:  F11, room 32-144
Instructor:  Professor Randy Davis
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.