Expert Systems : Principles and Programming, 4/e (Hardcover)

Description:

The first part of the book (Chapters 1-6) presents the underlying theory behind expert systems and how they fit into the scope of computer science; that is the logic, probability, data structures, AI, and other topics that form the theory of expert systems. Learning the advantages and disadvantages of expert systems, students will be able to make informed decisions regarding the appropriate use of expert system technology. The second half (Chapters 7-12) is an introduction to the CLIPS expert system tool which now also includes coverage of the procedural and object-oriented capabilities. This part is a practical introduction to expert system programming that serves to reinforce and clarify the theoretical concepts developed in the first part.

 

 

Table of Contents:

1. Introduction to Expert Systems
2. The Representation of Knowledge
3. Methods of Inference
4. Reasoning Under Uncertainty
5. Inexact Reasoning
6. Design of Expert Systems
7. Introduction to CLIPS
8. Advanced Pattern Matching
9. Modular Design, Execution Control, and Rule Efficiency
10. Procedural Programming
11. Classes, Instances, and Message-Handlers
12. Expert System Design Examples
Appendices
A: Some Useful Equivalences
B: Some Elementary Quantifiers and Their Meanings
C: Some Set Properties
D: CLIPS Support Information
E: CLIPS Commands and Functions Summary
F: CLIPS BNF
G: Software Resources