Artificial intelligence : (Record no. 4563)

MARC details
000 -LEADER
fixed length control field 02033nam a2200241Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520094846.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250520s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 201648660
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q 335 .L84 2003
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Luger, George F.
Relator term author
245 #0 - TITLE STATEMENT
Title Artificial intelligence :
Remainder of title structures and strategies for complex problem solving /
Statement of responsibility, etc. George F. Luger
250 ## - EDITION STATEMENT
Edition statement Fourth edition | Lower Price edition
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Harlow, Essex, England :
Name of publisher, distributor, etc. Addision-Wesley Publishing Company,
Date of publication, distribution, etc. c2003
300 ## - PHYSICAL DESCRIPTION
Extent xxiii, 880 pages :
Other physical details illustrations ;
Dimensions 24 cm.
500 ## - GENERAL NOTE
General note Previous edition: published as by George Luger, William A. Stubblefield. Redwood City, Calif.; Wokingham, Benjamin/Cummings, 1997.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note pt. I. Artificial intelligence : its roots and scope -- 1. AI : history and applications -- pt. II. Artificial intelligence as representation and search -- 2. The predicate calculus -- 3. Structures and strategies for state space search -- 4. Heuristic search -- 5. Stochastic methods -- 6. Control and implementation of state space search -- pt. III. Capturing intelligence : the AI challenge -- 7. Knowledge representation -- 8. Strong method problem solving -- 9. Reasoning in uncertain situations -- pt. IV. Machine iearning -- 10. Machine learning : symbol-based -- 11. Machine learning : connectionist -- 12. Machine learning : genetic and emergent -- 13. Machine learning : probabilistic -- pt. V. Advanced topics for AI problem solving -- 14. Automated reasoning -- 15. Understanding natural language -- pt. VI. Epilogue -- 16. Artificial intelligence as empirical enquiry.
520 ## - SUMMARY, ETC.
Summary, etc. Textbook in artificial intelligence, touching on several levels of structures and strategies for complex problem solving. Shows how to use the numerous software tools and techniques for problem solution. For computer scientists. Previous edition not cited.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element ARTIFICIAL INTELLIGENCE
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Computer Science LRC - Main National University - Manila General Circulation 10/27/2011 Reaccessioned   GC Q 335 .L84 2003 NULIB000002322 05/20/2025 c.1 05/20/2025 Books