Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

Judea Pearl

Technology

An account of the theoretical foundations and computational methods underlying reasoning under uncertainty in artificial intelligence. Pearl presents Bayesian (belief) networks as a mechanism for representing and propagating partial belief, distinguishing syntactic and semantic approaches to uncertainty. The work is widely regarded as the book that established Bayesian networks in AI.