Artificial intelligence / Elaine Rich, Kevin Knight and Shivashankar B Nair

By: Rich, Elaine | Knight, Kevin | Nair, Shivashankar BPublication details: New Delhi : Tata McGraw-Hill Publishing, c2009. Edition: 3rd edDescription: xviii, 568 p. : ill. ; 24 cmISBN: 9780070087705; 0070087709DDC classification: 006.3 RIC

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode	Item holds
English Lending	Villa College Library	Villa College Library	006.3 RIC (Browse shelf(Opens below))	Available		195

Total holds: 0

Content

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 structure
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 System
21. Perception and action
22 Fuzzy logic systems
23 genetic algorithms: copying nature's approaches
24 Artificial Immune System
25 Prolog-the natural language of artificial intelligence
26 Conclusion

Includes bibliographical references and index

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