Fundamentals of Artificial Intelligence

Lecture, four hours; laboratory, two hours; outside study, six hours.

Prerequisite: 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, and two-player games.

Knowledge structures include predicate logic, production systems, semantic nets and primitives, frames, and scripts.

Special topics in natural language processing, expert systems, vision, and parallel architectures.