About This Course

This course is an introduction to the basic principles, techniques, and applications of Artificial Intelligence.

Topics includes concepts of artificial intelligence, rationality, knowledge representation, logic, inference, perception, learning, planning, and problem solving intelligent agents and their structures. Problem representation; task environments, search strategies, constraint satisfaction problems, constraint propagation, rule chaining, inference and learning in intelligent systems; systems of general problem solving, game playing, expert consultation, concept formation and natural language processing, recognition, understanding and translation. Use of heuristic vs. algorithmic programming; cognitive simulations- vs. machine intelligence; study of some expert systems such as robotics and understanding, solving problems in AI language. Students will also experience programming in AI language tools. There will be a 3-hours per week mandatory laboratory class in this course.