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Rich, Elaine

Artificial intelligence - 3rd ed. - New Delhi. : Tata McGraw-Hill 2010 - xviii, 568 p.; PAPER BACK 23 cm.

Computer Science

CONTENTS:
Preface to the third edition
Preface to the second edition

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
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

References
Author index
Subject index

Artificial, intelligence.

ISBN: 9780070087705

Subjects--Index Terms: Computer Science, IT

Dewey Class. No.: 001.535 / RIC