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Expert Systems: Principles and Programming
Synopses & Reviews
This book combines coverage of expert systems theory with coverage of practical applications using CLIPS, an expert systems shell widely used in government, industry, and education. 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.
The new edition of this market-leading text builds upon the blend of expert systems theory and application established in earlier editions. The first half of the book concentrates on the theoretical base of expert systems, and offers a broad overview of Artificial Intelligence and its relation to expert systems. The second half of the text focuses on application, with the introduction of the CLIPS expert systems tool, and its new object-oriented language, COOL. All chapters end with an extensive problem set designed to reinforce knowledge.
The new edition of this market-leading text builds upon the blend of expert systems theory and application established in earlier editions.
About the Author
Dr. Joseph Giarratano is a member of the faculty in the Computer Science Department at the University of Houston, Clear Lake. He has many years of research experience with NASA and is responsible for developing the C Language Integrated Production System (CLIPS) user guides.Now at PeopleSoft, Inc., Gary Riley was a NASA civil servant for over ten years. While at NASA, he was responsible for the design and development of the rule-based portion of CLIPS. Since leaving NASA he has continued to independently develop and maintain CLIPS.
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
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