6.034 Artificial Intelligence

Class Info

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.

This class has 6.0001 as a prerequisite.

6.034 will be offered this semester (Fall 2019). It is instructed by P. H. Winston.

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.

You can find more information on MIT OpenCourseWare at the Artificial Intelligence site.

MIT 6.034 Artificial Intelligence Related Textbooks
MIT 6.034 Artificial Intelligence On The Web
Artificial Intelligence
knowledge representation problem solving learning methods

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