TY  - BOOK
AU  - Rich, Elaine
AU  - Knight, Kevin
AU  - Nair, Shivashankar B
TI  - Artificial intelligence
SN  - 9780070087705
U1  - 001.535 
PY  - 2010///
CY  - New Delhi.
PB  - Tata McGraw-Hill
KW  - Computer Science, IT
N1  - 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
N2  - Artificial, intelligence
ER  -