Artificial Intelligence : (Record no. 16775)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02905nam a2200277 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | vtls000001392 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | VRT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250102224220.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 081029s2003 njua |b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0137903952 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0130803022 (pbk.) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] | |
| Level of rules in bibliographic description | 201402040051 |
| Level of effort used to assign nonsubject heading access points | VLOAD |
| Level of effort used to assign subject headings | 201008091003 |
| Level of effort used to assign classification | malmash |
| Level of effort used to assign subject headings | 200811091315 |
| Level of effort used to assign classification | venkatrajand |
| Level of effort used to assign subject headings | 200810291425 |
| Level of effort used to assign classification | Noora |
| -- | 200810291422 |
| -- | Noora |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q335 |
| Item number | .R86 2003 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Russell, Stuart J. |
| Fuller form of name | (Stuart Jonathan) |
| 9 (RLIN) | 25075 |
| 245 10 - TITLE STATEMENT | |
| Title | Artificial Intelligence : |
| Remainder of title | A Modern Approach / |
| Statement of responsibility, etc. | Stuart J. Russell and Peter Norvig ; contributing writers John F. Canny ... [et al.]. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Upper Saddle River, N.J. : |
| Name of publisher, distributor, etc. | Prentice Hall, |
| Date of publication, distribution, etc. | 2003. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxviii, 1081 p. : |
| Other physical details | ill. ; |
| Dimensions | 24 cm. |
| 440 #0 - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Prentice Hall series in artificial intelligence |
| 9 (RLIN) | 25076 |
| 500 ## - GENERAL NOTE | |
| General note | Previous ed.: 1995. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | . ARTIFICIAL INTELLIGENCE. 1. Introduction. 2. Intelligent Agents. II. PROBLEM-SOLVING. 3. Solving Problems by Searching. 4. Informed Search and Exploration. 5. Constraint Satisfaction Problems. 6. Adversarial Search. III. KNOWLEDGE AND REASONING. 7. Logical Agents. 8. First-Order Logic. 9. Inference in First-Order Logic. 10. Knowledge Representation. IV. PLANNING. 11. Planning. 12. Planning and Acting in the Read World. V. UNCERTAIN KNOWLEDGE AND REASONING. 13. Uncertainty. 14. Probabilistic Reasoning Systems. 15. Probabilistic Reasoning Over Time. 16. Making Simple Decisions. 17. Making Complex Decisions. VI. LEARNING. 18. Learning from Observations. 19. Knowledge in Learning. 20. Statistical Learning Methods. 21. Reinforcement Learning. VII. COMMUNICATING, PERCEIVING, AND ACTING. 22. Agents that Communicate. 23. Text Processing in the Large. 24. Perception. 25. Robotics. VIII. CONCLUSIONS. 26. Philosophical Foundations. 27. AI: Present and Future. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The first edition of Artificial Intelligence: A Modern Approach has become a classic in the AI literature. It has been adopted by over 600 universities in 60 countries, and has been praised as the definitive synthesis of the field. In the second edition, every chapter has been extensively rewritten. Significant new material has been introduced to cover areas such as constraint satisfaction, fast propositional inference, planning graphs, internet agents, exact probabilistic inference, Markov Chain Monte Carlo techniques, Kalman filters, ensemble learning methods, statistical learning, probabilistic natural language models, probabilistic robotics, and ethical aspects of AI. The book is supported by a suite of online resources including source code, figures, lecture slides, a directory of over 800 links to AI on the Web, and an online discussion group. All of this is available at: aima.cs.berkeley.edu |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
| 9 (RLIN) | 5146 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Suppress in OPAC | No |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Library | Library | First Floor | 21/12/2024 | Q335 .R86 2003 | 9885 | 21/12/2024 | 1 | 21/12/2024 | Books | |||||
| Library of Congress Classification | Library | Library | First Floor | 21/12/2024 | Q335 .R86 2003 | 10251 | 21/12/2024 | 2 | 21/12/2024 | Books |