CMPT 310: Introduction to Artificial Intelligence

Instructor: William S. (Bill) Havens

Laboratory: Intelligent Systems Laboratory

These materials are provided only for students of CMPT-310. Copyright 1997 © by William S. Havens.
Most files are written in Abobe PDF format. On unix, the PDF reader is called "acroread" and is located in the normal path. For other systems, a PDF reader can be obtained from Adobe via this link:

Course Handouts:

• Course Syllabus
  
• Course Details
  

Papers:

• "Belief Networks for Construction Performance Diagnostics" by Brenda McCabe, Simaan M. AbouRizk & Randy Goebel . An introduction to practical applications of belief networks at Microsoft Research.
  
• "Intelligence without Reason" by Rodney Brooks. This paper gives an alternate historical view of the evolution of AI.
  
• "Survey: Practical Applications of Constraint Programming" by Mark Wallace. A good survey of the state of the art in constraint reasoning and its applications.
  

Homework Assignments

Course Lecture Notes

Lisp Programming Code

A.I. Research Sources :

• Lisp FAQs (CMU)
  
• Common Lisp, the Language, 2nd Edition by Guy Steele -- this has the full text of the complete reference manual for Common Lisp.
  
• Artificial Intelligence FAQs (CMU)
  
• AI Repository and Resource List (CMU)
  
• "Artificial Intelligence: Realizing the Ultimate Promises of Computing" by David Waltz
  
• APRPA Report on 21st Century Intelligent Systems
  
• Artificial Intelligence Resources (NRC)
  
• Artificial Intelligence Journals
  
• YAHOO on Artificial Intelligence
  
• SFU Online Library Resources
  
• Agent Web Resources
  
• American Association for Artificial Intelligence
  
• Alan Turing home page.