Probabilistic networks, also known as Bayesian networks and influence
diagrams, have become one of the most promising technologies in the area
of applied artificial intelligence. This book provides a comprehensive
guide for practitioners who wish to understand, construct, and analyze
intelligent systems for decision support based on probabilistic
networks. Intended primarily for practitioners, this book does not
require sophisticated mathematical skills. The theory and methods
presented are illustrated through more than 140 examples, and exercises
are included for the reader to check his/her level of understanding.
Many of the techniques and methods presented have been developed and
refined on the basis of numerous courses that the authors have held for
practitioners worldwide.