Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)
by Judea Pearl
This book presents a comprehensive approach to probabilistic reasoning using networks of plausible inference. It equips intelligent systems with the ability to manage uncertainty and make informed decisions. As part of the Morgan Kaufmann Series, it offers foundational insights into representation and reasoning in AI.
About This Book
Probabilistic Reasoning in Intelligent Systems introduces networks of plausible inference as a framework for handling uncertainty in AI applications.
The book, part of the Morgan Kaufmann Series in Representation and Reasoning, delves into methods for representing and computing with probabilistic knowledge.
Authored by Judea Pearl, it provides essential tools for building intelligent systems capable of reasoning under incomplete information.
This text serves as a cornerstone for researchers and practitioners in artificial intelligence and related fields.
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