Prerequisite: Faculty permission (Knowledge of OO and/or AI)
Satisfies Graduate Area 8: Artificial Intelligence & Expert Systems
Class Days and Times: Tue & Thu, 8:00a-9:15a (Pacific)
Instructor: Anne Keuneke
Office Hours: Tue & Thu, 9:30-10:30a, 1:00-2:00p
Office Phone: (530)898-5998
Email: amk@ecst.csuchico.edu
Fax Phone: (530) 898-5995
Web Page: http://www.ecst.csuchico.edu/~amk/foo/csci322
Textbooks: (both required)
LISP 3rd Edition , Winston and Horn, Addison-Wesley Publishing, 1989, ISBN 0-201-08319-1
Intelligent Java Applications , Mark Watson, Morgan Kauffman Publishing, 1997, ISBN 1-55860-420-0
Software: Site availability and potential access.
Hardware: Site availability and potential access.
Course Description: This course will include both writing new programs and making extensions to previously used AI systems. Due to the amount of current AI systems running LISP, first we study the language constructs of LISP and the basic ideas and techniques of symbol manipulation in AI. Demonstrations of how LISP is used in practice through complete program examples (expert system shell development, constraint propogation systems, inference engines, etc.). Next, we develop and code new systems using the Java language. Java is chosen so that the programs can be used on the web. Focus, quite natural for AI, is on object-oriented techniques and modeling 'real world' systems.
Topics (not necessarily in this order - focus on 4-7 ):
Goals:
Grade Evaluation Procedure:
"LISP has jokingly been called "the most intelligent way to misuse a computer." I think that description is a great compliment because it transmits the full flavor of liberation: it has assisted a number of our most gifted fellow humans in thinking previously impossible thoughts [Dikstra, 1972]."
Java - let the network be the computer