Artificial intelligence : (Record no. 4547)
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000 -LEADER | |
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fixed length control field | 01806nam a2200229Ia 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 | 9780133601244 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | NULRC |
050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | Q 335 .R87 1995 |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Russell, Stuart J. |
Relator term | author |
245 #0 - TITLE STATEMENT | |
Title | Artificial intelligence : |
Remainder of title | A modern approach / |
Statement of responsibility, etc. | Stuart J. Russell and Peter Norvig. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Englewood Cliffs, New Jersey : |
Name of publisher, distributor, etc. | Prentice-Hall, |
Date of publication, distribution, etc. | c1995 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xxviii, 932 pages : |
Other physical details | figure ; |
Dimensions | 26cm. |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Includes index. |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | I. ARTIFICIAL INTELLIGENCE. 1. Introduction. 2. Intelligent Agents. II. PROBLEM-SOLVING. 3. Solving Problems by Searching. 4. Informed Search Methods. 5. Game Playing. III. KNOWLEDGE AND REASONING. 6. Agents that Reason Logically. 7. First-order Logic. 8. Building a Knowledge Base. 9. Inference in First-Order Logic. 10. Logical Reasoning Systems. IV. ACTING LOGICALLY. 11. Planning. 12. Practical Planning. 13. Planning and Acting. V. UNCERTAIN KNOWLEDGE AND REASONING. 14. Uncertainty. 15. Probabilistic Reasoning Systems. 16. Making Simple Decisions. 17. Making Complex Decisions. VI. LEARNING. 18. Learning from Observations. 19. Learning with Neural Networks. 20. Reinforcement Learning. 21. Knowledge in Learning. VII. COMMUNICATING, PERCEIVING, AND ACTING. 22. Agents that Communicate. 23. Practical Communication in English. 24. Perception. 25. Robotics. VIII. CONCLUSIONS. 26. Philosophical Foundations. 27. AI: Present and Future. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | For one/two-semester, undergraduate or graduate-level courses in Artificial Intelligence.The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | ARTIFICIAL INTELLIGENCE |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Norvig, Peter |
Relator term | co-author |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Library of Congress Classification |
Koha item type | Books |
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 |
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Library of Congress Classification | Computer Science | LRC - Main | National University - Manila | General Circulation | 10/27/2011 | Reaccessioned | GC Q 335 .R87 1995 | NULIB000002306 | 05/20/2025 | c.1 | 05/20/2025 | Books |