ISBN: 9780444522115 - handbook of knowledge representation: volume 1 (10 risultati)

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Condizione: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.…

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Da: Friends of the Multnomah County Library, Portland, OR, U.S.A.Friends of the Multnomah County Library
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Hardcover. Condizione: Good. 1st Edition. Clean pages, sound binding. Hardcover boards show some light wear and denting along edges.

Handbook Of Knowledge Representation
Van Harmelen, Frank (EDT); Lifschitz, Vladimir (EDT); Porter, Bruce (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Handbook Of Knowledge Representation
Van Harmelen, Frank (EDT); Lifschitz, Vladimir (EDT); Porter, Bruce (EDT)
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Handbook Of Knowledge Representation
Van Harmelen, Frank (EDT); Lifschitz, Vladimir (EDT); Porter, Bruce (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 286,64
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Condizione: New. In English.

Handbook Of Knowledge Representation
Van Harmelen, Frank (EDT); Lifschitz, Vladimir (EDT); Porter, Bruce (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 290,41
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Make your computer smarterHandle qualitative and uncertain informationImprove computational tractability to solve your problems easilyThis indispensable handbook describes essential foundations of artificial intellige.

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. 1016 pp. Englisch.…

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 223,63
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI.…