Probabilistic Reasoning in Multiagent Systems (Record no. 12240)

MARC details
000 -LEADER
fixed length control field 01608nmm a2200181Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220920s9999||||xx |||||||||||||| ||und||
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 PDF
Link text Click to Access the Online Book
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Suppress in OPAC
Holdings
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
      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