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 2018). It is instructed by P. Winston.
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.
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