CS 580 Introduction to Artificial Intelligence

Spring 2009

Prerequisite: CS 310, 330

001 13998 W 4:30 pm – 7: 10 pm IN 136

Office Hours: W 3:15 pm – 4:15 pm (ST II – rm. 461)

Catalog description: Principles and methods for knowledge representation, reasoning, learning, problem solving, planning, heuristic search, and natural language processing and their application to building intelligent systems in a variety of domains. LISP, PROLOG, [MATLAB] or expert system programming language.

Instructor:  Prof. Harry Wechsler http://cs.gmu.edu/~wechsler/

Textbook:

S. Russell and P. Norvig Artificial Intelligence: A Modern Approach,  Prentice Hall, Second edition, ISBN: 0-13-790395-2, 2003. 

Web site: http://aima.cs.berkeley.edu/

http://aima.eecs.berkeley.edu/slides-pdf/

Syllabus:

• problem solving and search
• competitive games
• constraint satisfaction problems
• automatic reasoning
• probabilistic reasoning and Bayesian networks
• machine learning

- symbolic

- connectionism (neural networks)

- statistical

• communication

- natural language processing

- perception

• applications: biometrics and search engines

Grading:

· Homework Assignments 25%

· MidTerm 20%

· Term Project 25%

· Final (Wed. 5/6) 30%

Honor Code

You are expected to abide by the honor code. Homework assignments and exams are individual efforts. Information on the university honor code can be found at: http://jiju.gmu.edu/catalog/apolicies/honor.html