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.

6.034 will be offered this semester (Fall 2017). It is instructed by P. H. Winston and K. Koile.

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 at the http://www.google.com/search?&q=MIT+%2B+6.034&btnG=Google+Search&inurl=https site.