Probabilistic Reasoning in Intelligent Systems

This comprehensive book explores the theoretical foundations and computational methods behind plausible reasoning under uncertainty. The author provides deep insight into probability as a language for reasoning with partial belief, and offers a unifying perspective on other approaches to uncertainty. Featuring techniques based on belief networks that enable semantics-based systems, the book provides practical solutions for diagnosis, forecasting, decision making, and more, making it ideal for scholars, researchers, and professionals in a wide range of fields.