Artificial Intelligence (formerly 6.034/6.844, now 6.4100)

Course Description

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.

Semesters Taught

Fall, 2021 (Instructor: Dr. Kimberle Koile)