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 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 ...
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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 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 of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. 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.
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Add this copy of Probabilistic Reasoning in Intelligent Systems Networks to cart. $76.47, new condition, Sold by Paperbackshop rated 4.0 out of 5 stars, ships from Bensenville, IL, UNITED STATES, published 1997 by Elsevier Science & Technology.
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Add this copy of Probabilistic Reasoning in Intelligent Systems: to cart. $37.29, fair condition, Sold by EB-Books LLC rated 5.0 out of 5 stars, ships from Rockford, IL, UNITED STATES, published 1991 by Morgan Kaufmann Publishers.
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Fair. Item in acceptable condition including possible liquid damage. As well answers may be filled in. May be missing DVDs, CDs, Access code, etc. 100%Money-Back Guarantee! Ship within 24 hours! !
Add this copy of Probabilistic Reasoning in Intelligent Systems: to cart. $37.29, fair condition, Sold by ThriftBooks-Atlanta rated 5.0 out of 5 stars, ships from Brownstown, MI, UNITED STATES, published 1991 by Morgan Kaufmann Publishers.
Add this copy of Probabilistic Reasoning in Intelligent Systems: to cart. $39.74, good condition, Sold by Dungeness Books rated 5.0 out of 5 stars, ships from Sequim, WA, UNITED STATES, published 1991 by Morgan Kaufmann Pub.
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Good. Size: 6x1x9; San Mateo, CA: Morgan Kaufmann Publishers, 1988. 8vo (9 x 6.25 in). Hardcover with dust jacket. xix, [1], 552, [2] pp. With diagrams and illustrations. "Ric Frankel" inked on ffep., otherwise pages are crisp, clean, and bright. A few small closed tears to top edge of dj. A complete and accessible account of the theoretical foundations and computational methods of plausible reasoning under uncertainty. Of special interest to scholars and researchers in AI and decision theory.
Add this copy of Probabilistic Reasoning in Intelligent Systems: to cart. $39.93, good condition, Sold by Big River Books rated 5.0 out of 5 stars, ships from Powder Springs, GA, UNITED STATES, published 1991 by Morgan Kaufmann Publishers.
