Bayesian Artificial Intelligence

Kevin B. Korb, Ann E. Nicholson (Autoren)

Buch | Hardcover

492 Seiten

2010 | 2nd edition
Crc Press Inc (Verlag)
978-1-4398-1591-5 (ISBN)

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Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on their own applied research to illustrate various applications of the technology.

New to the Second Edition

New chapter on Bayesian network classifiers
New section on object-oriented Bayesian networks
New section that addresses foundational problems with causal discovery and Markov blanket discovery
New section that covers methods of evaluating causal discovery programs
Discussions of many common modeling errors
New applications and case studies
More coverage on the uses of causal interventions to understand and reason with causal Bayesian networks

Illustrated with real case studies, the second edition of this bestseller continues to cover the groundwork of Bayesian networks. It presents the elements of Bayesian network technology, automated causal discovery, and learning probabilities from data and shows how to employ these technologies to develop probabilistic expert systems.

Web Resource
The book’s website at www.csse.monash.edu.au/bai/book/book.html offers a variety of supplemental materials, including example Bayesian networks and data sets. Instructors can email the authors for sample solutions to many of the problems in the text.

Kevin B. Korb is a Reader in the Clayton School of Information Technology at Monash University in Australia. He earned his Ph.D. from Indiana University. His research encompasses causal discovery, probabilistic causality, evaluation theory, informal logic and argumentation, artificial evolution, and philosophy of artificial intelligence. Ann E. Nicholson an Associate Professor in the Clayton School of Information Technology at Monash University in Australia. She earned her Ph.D. from the University of Oxford. Her research interests include artificial intelligence, probabilistic reasoning, Bayesian networks, knowledge engineering, plan recognition, user modeling, evolutionary ethics, and data mining

Probabilistic Reasoning. Learning Causal Models. Knowledge Engineering. Appendices. References. Index.

Erscheint lt. Verlag	7.1.2011
Reihe/Serie	Chapman & Hall/CRC Computer Science & Data Analysis
Zusatzinfo	44 Tables, black and white; 159 Illustrations, black and white
Verlagsort	Bosa Roca
Sprache	englisch
Maße	156 x 234 mm
Gewicht	884 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie
ISBN-10	1-4398-1591-7 / 1439815917
ISBN-13	978-1-4398-1591-5 / 9781439815915
Zustand	Neuware