Probabilistic Reasoning in Multiagent Systems (Record no. 12240)
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780511546938 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.3 |
Item number | Xi4P |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Xiang, Yang. |
Relator term | Author |
Language of a work | English |
9 (RLIN) | 1852 |
245 #0 - TITLE STATEMENT | |
Title | Probabilistic Reasoning in Multiagent Systems |
Remainder of title | : A Graphical Models Approach |
Statement of responsibility, etc. | / by Yang Xiang. |
Medium | [Electronic Resource] |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Cambridge |
Name of publisher, distributor, etc. | : Cambridge University Press, |
Date of publication, distribution, etc. | 2002 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xii, 294p. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This 2002 book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become increasingly an active field of research and practice in artificial intelligence, operations research and statistics. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. Yang Xiang extends graphical dependence models to the distributed and multi-agent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents, and effective, exact and distributed probabilistic inference. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer Science |
9 (RLIN) | 926 |
Topical term or geographic name entry element | Machine Learning |
9 (RLIN) | 15718 |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://doi.org/10.1017/CBO9780511546938">https://doi.org/10.1017/CBO9780511546938</a> |
Electronic format type | |
Link text | Click to Access the Online Book |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | e-Book |
Suppress in OPAC |
Withdrawn status | Lost status | Damaged status | Use restrictions | Not for loan | Collection | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
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e-Book For Access | Textbook | S. R. Ranganathan Learning Hub | S. R. Ranganathan Learning Hub | Online | 2022-09-20 | Infokart India Pvt. Ltd., New Delhi | 140.00 | 006.3 Xi4P | EB0380 | 2022-09-20 | 2022-09-20 | e-Book | Platform : Cambridge Core |