Current information about this course will be kept on a CS 580 web page: http://cs.gmu.edu/~zduric/cs580.html Course Text: Artificial Intelligence: A Modern Approach, Russell & Norvig, Prentice Hall Supplementary texts: ANSI Common Lisp, Graham, Prentice-Hall Common LISPcraft, R. Wilensky, Norton Publishing Common Lisp - The Language, G. Steele, Digital Press Artifical Intelligence, Luger & Stubblefield, Addison Wesley Artificial Intelligence: A New Synthesis, Nilsson, Morgan Kaufmann Prerequisites: A working knowledge of computer systems and several programming languages is required. The material covered in CS 310 and CS 330 as well as general computer science maturity is assumed and used throughout the course. Content: The basic principles of representation, heuristic search, learning, and control will be presented in the context of specific AI areas such as problem solving, vision, natural language, and expert systems. The Lisp programming language will be used as the primary language for homework assignments. Exams: There will be a midterm and final exam. Homework: There will be several programming assignments which will include written summaries. Other assignments could include practice problems from the textbook and/or old exams. A class project will be required. Grading: The course grade will be determined approximately as follows: homework: 30% project: 10% midterm: 25% final: 35%
Zoran Duric (zduric@cs.gmu.edu)