MARC details
| 000 -LEADER |
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| fixed length control field |
02856nam a2200241Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
NULRC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250520100647.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250520s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789810695958 |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
NULRC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
Q 335 .L84 2010 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| 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 |
Sixth edition. | Lower Price edition/Philippine edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Boston, Massachusetts : |
| Name of publisher, distributor, etc. |
Pearson Addison-Wesley, |
| Date of publication, distribution, etc. |
c2010 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxiii, 754 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 365 ## - TRADE PRICE |
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| Price amount |
PHP995 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references (pages 705-733) and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| 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. |
In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence-solving the complex problems that arise wherever computer technology is applied. Key representation techniques including logic, semantic and connectionist networks, graphical models, and many more are introduced. Presentation of agent technology and the use of ontologies are added. A new machine-learning chapter is based on stochastic methods, including first-order Bayesian networks, variants of hidden Markov models, inference with Markov random fields and loopy belief propagation. A new presentation of parameter fitting with expectation maximization learning and structure learning using Markov chain Monte Carlo sampling. Use of Markov decision processes in reinforcement learning. Natural language processing with dynamic programming (the Earley parser) and other probabilistic parsing techniques including Viterbi, are added. A new supplemental programming book is available online and in print: "AI Algorithms in Prolog, Lisp and Java (TM). "References and citations are updated throughout the Sixth Edition. For all readers interested in artificial intelligence. |
| 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 |
