Fundamentals of Artificial Intelligence

Lecture, four hours; laboratory, two hours; outside study, six hours. Enforced requisite: course 180. Introduction to fundamental problem solving and knowledge representation paradigms of artificial intelligence. Introduction to Lisp with regular programming assignments. State-space and problem reduction methods, brute-force and heuristic search, planning techniques, two-player games. Knowledge structures including predicate logic, production systems, semantic nets and primitives, frames, scripts. Special topics in natural language processing, expert systems, vision, and parallel architectures. Letter grading.

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Course

Instructor
Rosen, B.E.
Previously taught
09F 08F 08W 06F 06S 05W 04S 04W 03F 03S 03W 02F 02S 01F 00F 00W 99F

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