2nd Edition

Bayesian Artificial Intelligence

By Kevin B. Korb, Ann E. Nicholson Copyright 2011
492 Pages 159 B/W Illustrations
by CRC Press

492 Pages 159 B/W Illustrations
by CRC Press

491 Pages
by CRC Press

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... Read more

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

Biography

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