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Artificial Intelligence (Record no. 2385)

000 -LEADER
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003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20191011114801.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-0-07-008770-5
028 ## - PUBLISHER NUMBER
Source Allied Informatics, Jaipur
Bill Number 6745
Bill Date 4/10/2019
Purchase Year 2019-20
040 ## - CATALOGING SOURCE
Original cataloging agency BSDU
Language of cataloging English
Transcribing agency BSDU
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number RIC
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Rich, Elaine
245 ## - TITLE STATEMENT
Title Artificial Intelligence
250 ## - EDITION STATEMENT
Remainder of edition statement 3rd
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Chennai
Name of publisher, distributor, etc. McGraw Hill Education (India) Pvt. Ltd.
Date of publication, distribution, etc. 2017; c2009
300 ## - PHYSICAL DESCRIPTION
Extent 568
500 ## - GENERAL NOTE
General note This book presents both theoretical foundations of AI and an indication of the ways that current techniques can be used in application programs. With the revision, most of the content has been preserved as it is, and an effort has been put in on adding new topics that are in sync with the recent developments in this field.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Contents
PART I: PROBLEMS AND SEARCH

Chapter 1. What is Artificial Intelligence?
Chapter 2. Problems, Problem Spaces, and Search
Chapter 3. Heuristic Search Techniques


PART II: KNOWLEDGE REPRESENTATION

Chapter 4. Knowledge Representation Issues
Chapter 5. Using Predicate Logic
Chapter 6. Representing Knowledge Using Rules
Chapter 7. Symbolic Reasoning Under Uncertainty
Chapter 8. Statistical Reasoning
Chapter 9. Weak Slot-and-Filler Structures
Chapter 10. Strong Slot-and-Filler Structures
Chapter 11. Knowledge Representation Summary


PART III ADVANCED TOPICS

Chapter 12. Game Playing
Chapter 13. Planning
Chapter 14. Understanding
Chapter 15. Natural Language Processing
Chapter 16. Parallel and Distributed AI
Chapter 17. Learning
Chapter 18. Connectionist Models
Chapter 19. Common Sense
Chapter 20. Expert Systems 416
Chapter 21. Perception and Action
Chapter 22. Fuzzy Logic Systems
Chapter 23. Genetic Algorithms:Copying Nature's Approaches
Chapter 24. Artificial Immune Systems
Chapter 25. Prolog-The Natural Language of Artificial Intelligence
Chapter 26. Conclusion
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Knight, Kevin
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Nair, Shivashankar B.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
          BSDU Knowledge Resource Center, Jaipur BSDU Knowledge Resource Center, Jaipur General Stacks 2019-10-11 785.00 006.3 RIC 017929 2020-02-12 785.00 2019-10-11 Books
          BSDU Knowledge Resource Center, Jaipur BSDU Knowledge Resource Center, Jaipur General Stacks 2020-09-14 785.00 006.3 RIC DB0245 2020-09-14 785.00 2020-09-14 Donated Books

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