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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The Pearrl of Why: Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. But it helped me prepare mentally for an online course in AI I completed successfully.
East Dane Designer Men’s Fashion. AmazonGlobal Ship Orders Internationally. 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. Until then, this is a great place to begin studying graphical models, as long as it’s supplemented with more recent papers.
Anyway, I never finished it. I’ve found no better book for explaining the recent advances in probability theory and its relevance to real-life, practical artificial intelligence development. My library Help Advanced Book Search.
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reasonkng Causal Inference in Statistics: I’ve been looking for a good introduction to Bayes nets for a long time, and this one is by far the best and most comprehensive. Dempster-Shafer formulism, probabilistic treatment of the Yale shooting problem and dialogue between logicist and probablist, the concluding probabiilstic. The author distinguishes syntactic and semantic approaches to uncertainty–and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational.
Goodreads helps you keep track of books you want to read. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. 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.
Ricardo Fricks rated it really liked it Jul 13, It is the complexity of the reasoning that gave me pause.
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference by Judea Pearl
Judea Pearl’s summary looks interesting. The author distinguishes syntactic and semantic approaches to uncertainty–and offers techniques, based on intelligejt networks, that provide a mechanism for making semantics-based systems operational.
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. Dinesh Sharma rated it liked it Sep 11, There are sytems newer and perhaps better texts on BNs, eg: Probabilistic Reasoning in Intelligent Systems: A Primer Kindle Edition.
In one word, Excellent!!!
Greg Hullender rated it really liked it Sep 18, Jduea it was not directly related to neural network models, which is my key AI interest. Jovany Agathe rated it it was amazing Sep 28, June 28, Sold by: Customers who viewed this item also viewed.
There are no discussion topics on this book yet. It’s written in a very down-to-earth and highly entertaining style with plenty of examples. Lists with This Book.
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A Visual Introduction For Beginners. Morgan KaufmannSep 15, – Computers – pages. Get fast, free shipping with Amazon Prime.
Networks of Plausible Inference. Until then, this is a great plac I’d give the first chapter or two of this book 5 stars. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability. Readzat rated it it was amazing Nov 16, Paul Vittay rated it really liked it May 16, The radio announcement strengthens your suspicion in the earthquake hypothesis and permits you to properly readjust your decisions without elaborating the mechanics of the pressure transducer used in the alarm system.
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