Table of contents Part I: Problems and Search
1. What is Artificial Intelligence?
2. Problems, Problem Spaces, and Search
3. Heuristic Search Techniques
Part II: Knowledge Representation
4. Knowledge Representation Issues
5. Using Predicate Logic
6. Representing Knowledge Using Rules
7. Symbolic Reasoning Under Uncertainty
8. Statistical Reasoning
9. Weak Slot-and-Filler Structures
10. Strong Slot-and-Filler Structures
11. Knowledge Representation Summary
Part III Advanced Topics
12. Game Playing
13. Planning
14. Understanding
15. Natural Language Processing
16. Parallel and Distributed AI
17. Learning
18. Connectionist Models
19. Common Sense
20. Expert Systems 416
21. Perception and Action
22. Fuzzy Logic Systems
23. Genetic Algorithms: Copying Nature?s Approaches
24. Artificial Immune Systems
25. Prolog?The Natural Language of Artificial Intelligence
26. Conclusion
New Features
? The revised edition has four new chapters
? Fuzzy Logic Systems
? Genetic Algorithms
? Artificial Immune Systems
? PROLOG
? Chapter 1, What is AI, now talks of Stevan Harnad's point of Symbol Grounding
? Chapter 15, Natural Language Processing, has a section describing Statistical Approaches to language processing
? Chapter 18 on Connectionist Models has an additional section on Kohonen Networks
New chapters added signify the recent advancements that have taken place in AI. We have not deleted any chapter, since all of them have relevance to the subject as well as the syllabi that are being followed.