{"product_id":"probabilistic-reasoning-in-intelligent-systems-networks-of-plausible-inference","title":"Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference","description":"\u003cbody\u003e\n\u003cb\u003eTitle: \u003c\/b\u003eProbabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference\n\u003cbr\u003e\u003cb\u003eAuthor: \u003c\/b\u003eJudea Pearl\n\u003cbr\u003e\u003cb\u003eISBN: \u003c\/b\u003e1558604790\n\u003cbr\u003e\u003cb\u003ePublisher: \u003c\/b\u003eMorgan Kaufmann\n\u003cbr\u003e\u003cb\u003ePublished: \u003c\/b\u003e1988\n\u003cbr\u003e\u003cb\u003eBinding: \u003c\/b\u003ePaperback\n\u003cbr\u003e\u003cb\u003eLanguage: \u003c\/b\u003eEnglish\n\u003cbr\u003e\u003cb\u003eEdition: \u003c\/b\u003e1\n\u003cbr\u003e\u003cb\u003eNumber of Pages: \u003c\/b\u003e584\n\u003cbr\u003e\u003cb\u003eCondition Note: \u003c\/b\u003eModerate edge wear. Binding good. May have marking in text. We sometimes source from libraries. We ship in recyclable American-made mailers. 100% money-back guarantee on all orders.\n\u003cbr\u003e\u003cb\u003ePublisher Description: \u003c\/b\u003e\u003cp\u003e\u003ci\u003eProbabilistic Reasoning in Intelligent Systems\u003c\/i\u003e 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. \u003c\/p\u003e\n\u003cp\u003eThe 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eProbabilistic Reasoning in Intelligent Systems\u003c\/i\u003e 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.\u003c\/p\u003e\n\u003c\/body\u003e","brand":"Morgan Kaufmann","offers":[{"title":"Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference | Judea Pearl | Paperback | 1558604790 | Used: Good | Back Stacks R 1772306","offer_id":49575618085016,"sku":"1772306","price":174.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0492\/1609\/4360\/files\/71K1b0SF1WL.jpg?v=1785266082","url":"https:\/\/roundaboutbookstore.com\/products\/probabilistic-reasoning-in-intelligent-systems-networks-of-plausible-inference","provider":"Roundabout Books","version":"1.0","type":"link"}