Expert systems and probabilistic network models

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Last edited by MARC Bot
August 6, 2024 | History

Expert systems and probabilistic network models

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Expert systems and uncertainty in artificial intelligence have seen a great surge of research activity during the last decade. This book provides a clear and up-to-date account of the research progress in these areas.

The authors begin with a survey of rule-based expert systems, which are mainly applicable to deterministic situations. Since most practical applications involve some degree of uncertainty, the authors then introduce probabilistic expert systems to deal with this element of uncertainty. They build on this foundation by showing how coherent expert systems are constructed and how probabilistic models such as Bayesian and Markov networks are developed.

Subsequent chapters discuss how knowledge is updated by using both exact and approximate propagation methods. Other subjects such as symbolic propagation, sensitivity analysis, and learning are also presented. The book concludes with a chapter that applies the methods presented in the book to some case studies of real-life applications.

  1. The concepts, ideas, and algorithms are illustrated by more than 150 examples and more than 250 graphs with the aid of computer programs developed by the authors. These programs can be obtained from a World Wide Web site (see the address in the preface). The book also includes end-of-chapter exercises and an extensive bibliography.

This book is intended for advanced undergraduate and graduate students, and for research workers and professionals from a variety of fields, including computer science, applied mathematics, statistics, engineering, medicine, business, economics, and social sciences. No previous knowledge of expert systems is assumed. Readers are assumed to have some background in probability and statistics.

Publish Date
Publisher
Springer
Language
English
Pages
605

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Previews available in: English

Edition Availability
Cover of: Expert systems and probabilistic network models
Expert systems and probabilistic network models
1997, Springer
in English

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Book Details


Edition Notes

Includes bibliographical references (p. [581]-596) and index.

Published in
New York
Series
Monographs in computer science

Classifications

Dewey Decimal Class
006.3/3
Library of Congress
QA76.76.E95 C378 1997

The Physical Object

Pagination
xiv, 605 p. :
Number of pages
605

ID Numbers

Open Library
OL994594M
Internet Archive
expertsystemspro00cast
ISBN 10
0387948589
LCCN
96033161
OCLC/WorldCat
35138631
Goodreads
498257

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History

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August 6, 2024 Edited by MARC Bot import existing book
June 30, 2019 Edited by MARC Bot import existing book
April 28, 2010 Edited by Open Library Bot Linked existing covers to the work.
February 13, 2010 Edited by WorkBot add more information to works
December 10, 2009 Created by WorkBot add works page