Edited by Wichian Premchaiswadi
This book deals with the theory and algorithms for learning and probabilistic inference in Bayesian networks. This book also provides selected applications of Bayesian networks in several fields, including adaptive risk management, operational risk analysis, rangeland management and resiliency and interdependency of critical urban infrastructure. The book chapters are original manuscripts written by experienced researchers that have made significant contributions to the field of Bayesian networks. Although all chapters are self- contained, the reader should be familiar with texts using mathematical and statistical language to gain full benefit from the book. I am convinced that this book will be a very useful tool for anyone who is concerned with modelling systems containing causality with inherent uncertainty. I believe that readers will not only find the technical aspects for using and implementing Bayesian networks to solve their problem, but will also discover new approaches for how their current research and work can benefit from one of the major tools of the 21st century.