Building Expert Systems in Prolog
When I compare the books on expert systems in my library with the production expert systems I know of, I note that there are few good books on building expert systems in Prolog. Of course, the set of actual production systems is a little small for a valid statistical sample, at least at the time and...
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
1989, 1989
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| Edition: | 1st ed. 1989 |
| Series: | Springer Compass International
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 7.2 Room Configuration
- 7.3 A Sample Run
- 7.4 Summary
- 8 Performance
- 8.1 Backward Chaining Indexes
- 8.2 Rete Match Algorithm
- 8.3 The Rete Graph Data Structures
- 8.4 Propagating Tokens
- 8.5 The Rule Compiler
- 8.6 Integration with Foops
- 8.7 Design Tradeoffs
- 9 User Interface
- 9.1 Object Oriented Window Interface
- 9.2 Developer’s Interface to Windows
- 9.3 High-Level Window Implementation
- 9.4 Low-Level Window Implementation
- 10 Two Hybrids
- 10.1 CVGEN
- 10.2 The Knowledge Base
- 10.3 Inference Engine
- 10.4 Explanations
- 10.5 Environment
- 10.6 AIJMP
- 10.7 Summary
- 11 Prototyping
- 11.1 The Problem
- 11.2 The Sales Advisor Knowledge Base
- 11.3 The Inference Engine
- 11.4 User Interface
- 11.5 Summary
- 12 Rubik’s Cube
- 12.1 The Problem
- 12.2 The Cube
- 12.3 Rotation
- 12.4 High Level Rules
- 12.5 Improving theState
- 12.6 The Search
- 12.7 More Heuristics
- 12.8 User Interface
- 12.9 On the Limits of Machines
- 1 Introduction
- 1.1 Expert Systems
- 1.2 Expert System Features
- 1.3 Sample Applications
- 1.4 Prolog
- 1.5 Assumptions
- 2 Using Prolog’s Inference Engine
- 2.1 The Bird Identification System
- 2.2 User Interface
- 2.3 A Simple Shell
- 2.4 Summary
- 3 Backward Chaining with Uncertainty
- 3.1 Certainty Factors
- 3.2 MYCIN’S Certainty Factors
- 3.3 Rule Format
- 3.4 The Inference Engine
- 3.5 Making the Shell
- 3.6 English-like Rules
- 4 Explanation
- Value of Explanations to the User
- Value of Explanations to the Developer
- Types of Explanation
- 4.1 Explanation in Clam
- 4.2 Native Prolog Systems
- 5 Forward Chaining
- 5.1 Production Systems
- 5.2 Using Oops
- 5.3 Implementation
- 5.4 Explanations for Oops
- 5.5 Enhancements
- 5.6 Rule Selection
- 5.7 LEX
- 5.8 MEA
- 6 Frames
- 6.1 The Code
- 6.2 Data Structure
- 6.3 The Manipulation Predicates
- 6.4 Using Frames
- 6.5 Summary
- 7 Integration
- 7.1 Foops (Frames and Oops)
- Appendix A Native
- Sample Dialog
- Birds Knowledge Base
- Native Shell
- Appendix B Clam
- Sample Dialog
- Car Knowledge Base
- Clam
- Ldruls
- Appendix C Oops
- Sample Dialog
- Room Knowledge Base
- Oops
- Appendix D Foops
- Sample Dialog
- Room Knowledge Base (Foops)
- Foops
- Appendix E Rete-Foops
- Rete Compiler and Runtime
- Appendix F Windows
- Window Demonstration
- Windows (abbreviated)
- Appendix G Rubik
- Rubik
- Rubdata
- References
- Predicate Index