Book description

As the power of Bayesian techniques have become more fully realized, the field of artificial intelligence (AI) has embraced Bayesian methodology and integrated it to the point where an introduction to Bayesian techniques is now a core course in many computer science programs. Unlike other books on the subject, Bayesian Artificial Intelligence keeps mathematical detail to a minimum and covers a broad range of topics. The authors integrate all of Bayesian net technology and learning Bayesian net technology and apply them both to knowledge engineering. They emphasize understanding and intuition, but also provide the algorithms and technical background needed for applications. Software, exercises, and solutions are available on the authors' Web site.

This book was selected as one of Choice magazine's Outstanding Academic Titles for 2004.

About the Authors

Dr Kevin Korb is a senior lecturer in the School of Computer Science and Software Engineering at Monash University.  Dr Korb's research areas include artificial intelligence, machine learning, inductive inference, cognitive science and the philosophy of science.

Dr Ann Nicholson is a senior lecturer in the School of Computer Science and Software Engineering at Monash University.  Dr Nicholson's research interests include artificial intelligence, probabilistic reasoning, planning,  user modelling, intelligent agents and bayesian networks.

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