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Course Description

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artificial intelligence Awards Best Advanced Course

This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.

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Instructor Details

Prof. Patrick Henry Winston

Patrick Henry Winston is Ford Professor of Artificial Intelligence and MacVicar Faculty Fellow at the Massachusetts Institute of Technology. His Genesis research group focuses on developing a computational account of human intelligence and how human intelligence differs from that of other species, with special attention to modeling human story comprehension. Eventual applications include precedent-based advisory systems and self-aware machines.

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