Skip to content

Probabilistic reasoning in intelligent systems

Networks of Plausible Inference
Pages
552
Published
1988
Language
English

Synopsis

This foundational text explores the principles and applications of probabilistic reasoning within intelligent systems. It delves into the mathematical frameworks and computational methods essential for understanding uncertainty and making informed decisions in artificial intelligence. The book provides a comprehensive treatment of Bayesian networks and their role in modeling complex relationships and inferences.

About the author

J
Judea Pearl

Judea Pearl is a leading figure in the field of artificial intelligence and the author of The Book of Why. His work focuses on causality and its role in understanding the world, making complex ideas accessible to a broad audience.

Frequently asked questions

  • Is "Probabilistic Reasoning in Intelligent Systems" a foundational text in its field?

    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.

  • Does this book require advanced mathematical knowledge?

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

  • How does this book relate to Judea Pearl's later work on causality?

    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.