Expert Systems

• Text: "Expert Systems, Principles and Programming"
  • Authors: Joseph Giarratano and Gary Riley
  • Publisher: PWS Publishing Company
  • ISBN:0-534-93744-6

Class news group ("drexel.cs.class.exp-sys")

This course will explore the theory and applications of expert systems

Prerequisites: A knowledge of the Prolog language.

There will be two hour-long exams and occasional mini-programming projects.

Graduate students will be required to read an article from a journal and make a short (10 minute) presentation at the end of the semester. Reading list for graduate students

• Overview of Expert Systems and the Artificial Intelligence
• Review of Prolog.
  • OTTO, an automotive expert system
• Knowledge representation
  • First-order logic
• Methods of inference
  • And-Or trees and graphs
  • Deductive logic and syllogisms
  • Resolution
  • Forward and Backward chaining
    • CLIPS, a general purpose forward-chaining expert system
• Reasoning under uncertainty
  • Uncertainty
  • Types of errors
  • Experimental and subjective probabilities
  • Compound probabilities
  • Conditional probabilities
• Inexact reasoning
  • Uncertainty and rules
  • Dempster-Shafer theory

Microcomputer implementations of Prolog (for downloading):

• MacOS
• Windows

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