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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Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language eparl reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, su Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty.
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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 distinguishes syntactic and semantic approaches to uncertainty–and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence hudea probability theory with modern demands of reasoning-systems technology: Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition–in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.
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.
Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.
Paperbackpages. Networks of Plausible Inference. To see what your friends thought of this book, please sign up. To ask other readers questions about Probabilistic Reasoning in Intelligent Systemsplease sign up. Judea Pearl’s summary looks interesting.
I would have follow up questions in the areas where I am most interested i. See 1 question about Probabilistic Reasoning in Intelligent Systems…. Lists with This Book. Sep 24, Todd Johnson rated it really liked it Shelves: I’d give the first chapter or two of this book jurea stars.
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference by Judea Pearl
It’s very well written, and the material is exceptionally well motivated. Pearl gives the “why” in a lot of pgobabilistic where others give only the “how” or the “what. Until then, this is a great plac I’d give the first chapter or two of this book 5 stars.
Until then, this is a great place to begin studying graphical models, as long as it’s supplemented with more recent papers.
Apr 22, Moshe is currently reading it. I have a lot to learn about probabilistic reasoning. Jun 17, Zach rated it really liked it Shelves: Good thorough examples and clear writing put this book ahead of most textbooks’ treatment probabillistic related subjects.
Despite its early publication date, it is very forward-thinking, even in terms rsasoning computational paradigms, so that it seemed perhaps even more relevant today than at the time of writing. John rated systmes really liked it Aug 31, Foroogh rated it really liked it Oct 23, Marselina rated it really liked it Feb 10, Karsten Walker rated it it was amazing Sep 17, Ricardo Fricks rated it really liked it Jul 13, Ranjan Kumar rated it liked it Feb 27, Greg Hullender rated it really liked it Sep 18, Uudea rated it it was amazing Nov 16, Jovany Agathe rated it it was amazing Sep 28, John Brew rated it really liked it Jul 30, Lurino rated it it was probabilisgic Jun 11, John peadl it really liked it Oct 07, Andy McKenzie rated it it was ok Jan 26, Bricoleur David Soul rated it liked it Sep 13, Jaffu Jakku rated it it was amazing Sep 27, Paul Vittay rated it really liked it May 16, Avendias rated it it was amazing Feb 22, Austin Feller rated it it was amazing Jul 24, Dinesh Sharma rated it liked it Sep 11, Rob Jones rated it it was amazing Feb 09, Rajesh Gandhi rated it it was amazing Sep 10, John Swain rated it it was amazing Aug 10, Thomas Eapen rated it it was amazing May 12, Artur Olczyk rated it really liked it Dec 21, There are no discussion topics on this book yet.
Hudea you like books and love to build cool products, we may be looking for you. Books by Judea Pearl. Trivia About Probabilistic Rea No trivia or quizzes yet.
Quotes from Probabilistic Rea Upon receiving the phone call from your neighbor, only the burglary hypothesis is triggered; your decision whether to drive home or stay at work is made solely on the basis of the parameter P False alarmwhich summarizes all other unexplicated causes for an alarm sound. The catchall hypothesis All other causes shrinks to exclude earthquakesand its parameters are readjusted. The radio announcement strengthens your suspicion in the earthquake hypothesis and pesrl you to properly readjust your decisions without elaborating the mechanics of the pressure transducer used in the alarm system.
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