COMP 465-01, Artificial Intelligence for Computer Science, Fall 2007

Abstract

To introduce you to some of the basic theory and practical techniques in artificial intelligence. • In particular, this course will teach you about: o Reactive systems; o Search; o Knowledge representation; o Machine learning; o Planning; and o Software agents. • At the end of this course, the student will be able to: o Formulate and assess problems in artificial intelligence. o Assess the strengths and weaknesses of several methods for representing knowledge. o Assess the strengths and weaknesses of several AI algorithms in areas such as heuristic search, game search, logical inference, statistical inference, decision theory, planning, machine learning, neural networks, and natural language processing. o Implement software solutions to a wide-variety of problems generally considered to require artificial intelligence.