Probabilistic Reasoning in Intelligent Systems. Networks of Plausible Inference. Book • Authors: Judea Pearl. Browse book content. About the book. Sep 1, Vladik Kreinovich, Book review: Uncertain Reasoning Edited by Glenn Shafer and Judea Pearl (Morgan Kaufmann Publishers, Inc., San Mateo. Probabilistic Reasoning in Intelligent Systems is a complete andaccessible account of the theoretical foundations and computational methods that underlie.
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Would you like to tell us about probabilisticc lower price? Quotes from Probabilistic Rea Probabilistic Reasoning in Intelligent Systems: Trivia About Probabilistic Rea Ranjan Kumar rated it liked it Feb 27, It is the complexity of the reasoning that gave me pause.
As an advance text book, it’s equipped with theorem proofs, exercises but not very many examples which disappoints. Probability is increasingly becoming one of the major foundations of effective artificial intelligence, and I strongly recommend this book to anyone with an interest in AI or probability theory.
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Apr 22, Moshe is currently reading it. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.
The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.
June 28, Sold by: Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty.
This book is really about reasoning, and there is not that much higher math in it.
HuhnsMichael N Huhns Limited preview – Return to Book Page. Anyway, I never finished it.
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference by Judea Pearl
Marselina rated it really liked it Feb 10, Refresh and try again. Networks of Plausible Inference. Get to Know Us.
It’s very well written, and the material is exceptionally well motivated. Goodreads helps you keep track of books you want to read. No trivia or quizzes yet. Pronabilistic Thousands of Digital Comics.
Foroogh rated it really liked it Oct 23, Morgan Kaufmann; 1 edition June 28, Publication Date: Please try again later. Amazon Second Chance Pass it on, trade it in, give it a second life.
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Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Amazon Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers. Pearl gives the “why” in a lot of places where others give only the “how” or the “what. Despite its early publication date, it is very forward-thinking, even in terms of computational paradigms, so that it seemed perhaps even more relevant today than at the time of writing.
There was a problem filtering reviews right now. Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences.
Paperbackpages. This and other works on probability really helped me in picking stocks to invest in, especially biotechnology stocks.
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