CLASSICAL ARTIFICIAL INTELLIGENCE

Catalog description

This course is a graduate-level overview of fundamental techniques for building intelligent systems. Topics include combinatorial search, decision making, knowledge representation, planning, reasoning under uncertainty, and learning. Students implement algorithms using each of these techniques to build fully functional programs. (3 credits) spring, summer