CS 580 001/003 Home Page (Fall 2008)

This course explores 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 programming language is used.

• Syllabus
• Schedule (includes slides).
• Midterm review: 3/15/2006; see Schedule for solutions.
• Final review: 4/26/2006
• Final project: final Due Dec. 2, 2008 at 11:59pm.
  • Descriptions,3-pile-nim, railroad, Rubik's cube: expand, search
• Homework
  • Homework #1: hwk1, Due: Sep. 16, 2008 at 11:59pm. (Homeworks submitted by Sep. 9, 2008 extra credit 10%)
  • Homework #2: hwk2, Due: Sep. 23, 2008 at 11:59pm.
  • Homework #3: hwk3, Due: Oct. 7, 2008 at 11:59pm.
  • Homework #4: hwk4, pairs, Due Nov. 11, 2008 at 11:59pm.
  • Final project: final Due Dec. 2, 2008 at 11:59pm.
• Related Documents
  • Beating the averages Paul Graham's article on Lisp
  • Eye on the prize, Nilsson's paper on AI: ps, pdf
  • Playing with AI - a collection of short articles on games: ps, pdf
  • Matlab primer, Introduction to matlab: ps, pdf
• Useful links
  • Dr. Luke's lisp tutorial
  • CMU Artificial Intelligence Repository
  • Artificial Intelligence: A Modern Approach Russel & Norvig book
  • Common Lisp the Language, 2nd Edition, Guy L. Steele
  • Peter Norvig Lisp Resources
  • Clisp info Free Lisp
  • Lispworks LispWorks Personal Edition
  • Computer Vision Homepage
  • UCI Machine Learning Data Repository
• General Resources
  • George Mason University Technology Resources
  • The Data Analysis BriefBook: A condensed handbook, or an extended glossary, written in encyclopedic format, covering subjects in statistics, computing, analysis, and related fields.

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  Teaching Assistant:

  Banshari Patel

  Email : bpatel9@gmu.edu
  Office hours: Monday & Thursday 4:00pm to 5:30pm in S&T 2, Rm 330.

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  Zoran Duric zduric@cs.gmu.edu 9/2/2008