491 pages
Publisher: CRC Press; 2 edition (December 16, 2010)
Language: English
ISBN-10: 9781439815915
ISBN-13: 978-1439815915

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