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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Instructor
Michael Dyer
Previously taught
16W 15S 15W 14S 13S 12S 10F 10W 09W 07W 06W 04W 03W 02W 01W

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