Table of Contents

1. What Are Expert Systems?
2. An Overview of Artificial Intelligence.
3. Knowledge Representation.
4. Symbolic Computation.
5. Rule-Based Systems.
6. Structured Objects.
7. Object-Oriented Programming.
8. Logic Programming.
9. Representing Uncertainty.
10. Knowledge Acquisition.
11. Heuristic Classification (I).
12. Heuristic Classification (II).
13. Hierarchical Hypothesise and Test.
14. Constructive Problem Solving (I).
15. Constructive Problem Solving (II).
16. Designing for Explanation.
17. Tools for Building Expert Systems.
18. Blackboard Systems.
19. Truth Maintenance Systems.
20. Machine Learning.
21. Belief Networks.
22. Case Based Reasoning.
23. Hybrid Systems.
24. Summary and Conclusion. 
 Appendix:
CLIPS Programming.

About the Author

Peter Jackson is Director of Research at West Group, a division of The Thomson Corporation and the leading provider of information to the US legal market. Peter drives the application of natural language and information retrieval technologies to the information needs of law and business. Previous appointments include Principal Scientist at the McDonnell Douglas Research Laboratories in Saint Louis, Missouri, and Lecturer in the Department of Artificial Intelligence at the University of Edinburgh, Scotland.