Probabilistic reasoning in intelligent systems

This book is widely considered a landmark work that established the framework for modern probabilistic artificial intelligence, particularly through its detailed exposition of Bayesian networks.

Readers will benefit from a solid understanding of probability theory and discrete mathematics, as the book delves into rigorous mathematical proofs and formalisms.

This book lays the groundwork for Pearl's subsequent influential contributions to causal inference, introducing many of the concepts and notations that he would later expand upon in his work on causality.