Study guide for the Artificial Intelligence Comprehensive Examination

This serves as a guide for students preparing for the Graduate Comprehensive Exam in Artificial Intelligence. The topics below cover the fundamental concepts of artificial intelligence. They include areas in search, representation, reasoning, planning, learning, and uncertainty.

Students need to be aware that some materials might not be covered by a particular instructor in the corresponding course (due to time and other factors) and they are expected, as graduate students, to be able to read and understand materials they might not have seen in class.

Updated August 29th, 2013 (from the previous version in ~2005)