Probabilistic Reasoning In Expert Systems: Theory and Algorithms

摘要: This text is a reprint of the seminal 1989 book Probabilistic Reasoning in Expert systems: Theory and Algorithms, which helped serve to create field we now call Bayesian networks. It introduces properties networks (called causal text), discusses algorithms for doing inference networks, covers abductive inference, provides an introduction decision analysis. Furthermore, it compares rule-base experts systems ones based on frequentist approaches probability. Finally, critique maximum entropy formalism. Systems was written from perspective mathematician with emphasis being development theorems algorithms. Every effort made make material accessible. There are ample examples throughout text. important reading anyone interested both fundamentals history how they came be. also insightful comparison two most prominent