Dr. Douglas Metzler

Description/Objectives

• The course will be conducted in the LISP programming language which will be introduced in the first two classes then further explained in the course of the remaining classes. No prior knowledge of LISP is expected. The features of LISP that differentiate it from other languages, imperative languages in particular, will be pointed out and discussed. Later classes will focus on:
• Very general programming idioms such as pattern matching, search, and indexing.
• The implementation of basic AI programming paradigms such as rule-based programming, logic programming, object programming and knowledge representation systems.

General Course Information

• Requirements: Grades will be based on (approximately) weekly assignments starting in the third week and a term project. There will be no exams.
• Texts:
  • Artificial Intelligence Programming: Case Studies in Common Lisp, Peter Norvig. ISBN: 1558601910

    This text is old. But the book nicely illustrates how to build AI applications even if the example programs are not current. (For instance, one of the programs, ELIZA, was never even supposed to be an AI program, but is a good example of the underlying technique of pattern matching).

  • ANSI Common LISP, Paul Graham: ISBN-10: 0133708756; ISBN-13: 9780133708752.
  
  
• Other Resources (Additional Readings and LISP download site)
• Course Schedule
• Assignments

Project Files

• documentation
• 1-globals.lisp
• 1-access-functions.lisp
• 1-pat-mat-aux.txt
• 2-RBR-objects.lisp
• 2b-add-load-rules.lisp
• 2c-reset-and-clear.lisp
• 3-LHS.txt updated 12/10
• 4-RHS.txt
• 5-conflict-resolution.txt
• 6-top-level.txt
• 7-train-example-objects.lisp
• 7-train-rules.lisp

Class Notes

• Aug. 28
• Sep. 4
• Sep. 11
• Sep. 18
• Sep. 25
• Oct. 2
• Oct. 9
• Oct. 16-23
• skipped re efficiency
• Oct. 23
• Oct. 30-Nov.6
• Oct. Nov.13
• Oct. Nov.13-20
• Oct. Nov.20
• Oct. Dec. 4
• Oct. Dec. 11