Handbook of Knowledge Representation (Foundations of Artificial Intelligence)

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9780444522115: Handbook of Knowledge Representation (Foundations of Artificial Intelligence)
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Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. "The Handbook of Knowledge Representation" is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence. It makes your computer smarter. It offers to handle qualitative and uncertain information; and improve computational tractability to solve your problems easily.

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Van Harmelen, Frank (EDT)/ Lifschitz, Vladimir (EDT)/ Porter, Bruce (EDT)
Editorial: Elsevier Science & Technology 2007-12-13, Oxford (2007)
ISBN 10: 0444522115 ISBN 13: 9780444522115
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Descripción Elsevier Science & Technology 2007-12-13, Oxford, 2007. hardback. Estado de conservación: New. Nº de ref. de la librería 9780444522115

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VAN HARMELEN, FRANK; LIFSCHITZ, VLADIMIR; PORTER, BRUCE
Editorial: Elsevier Science (2007)
ISBN 10: 0444522115 ISBN 13: 9780444522115
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Descripción Elsevier Science, 2007. Hardback. Estado de conservación: NEW. 9780444522115 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0896974

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VAN HARMELEN, FRANK; LIFSCHITZ, VLADIMIR; PORTER, BRUCE
Editorial: Elsevier Science (2007)
ISBN 10: 0444522115 ISBN 13: 9780444522115
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Descripción Elsevier Science, 2007. Hardback. Estado de conservación: NEW. 9780444522115 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE01202349

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van Harmelen, Frank
Editorial: Elsevier Science (2007)
ISBN 10: 0444522115 ISBN 13: 9780444522115
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Descripción Elsevier Science, 2007. HRD. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IP-9780444522115

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van Harmelen, Frank
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Descripción Elsevier Science, 2007. HRD. Estado de conservación: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Nº de ref. de la librería IP-9780444522115

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ISBN 10: 0444522115 ISBN 13: 9780444522115
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van Harmelen, Frank [Editor]; Lifschitz, Vladimir [Editor]; Porter, Bruce [Editor];
Editorial: Elsevier Science (2008)
ISBN 10: 0444522115 ISBN 13: 9780444522115
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Descripción Elsevier Science, 2008. Hardcover. Estado de conservación: New. Nº de ref. de la librería INGM9780444522115

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van Harmelen, Frank / Lifschitz, Vladimir
ISBN 10: 0444522115 ISBN 13: 9780444522115
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Descripción Estado de conservación: New. Publisher/Verlag: Elsevier Science | 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.Make your computer smarterHandle qualitative and uncertain informationImprove computational tractability to solve your problems easily | Part I: General Methods in Knowledge Representation and Reasoning 1. Knowledge Representation and Classical Logic 2. Satisfiability Solvers 3. Description Logics 4. Constraint Programming 5. Conceptual Graphs 6. Nonmonotonic Reasoning 7. Answer Sets 8. Belief Revision 9. Qualitative Modeling 10. Model-Based Problem Solving 11. Bayesian Networks Part II: Classes of Knowledge and Specialized Representations 12. Temporal Representation and Reasoning 13. Spatial Reasoning 14. Physical Reasoning 15. Reasoning about Knowledge and Belief 16. Situation Calculus 17. Event Calculus 18. Temporal Action Logics 19. Nonmonotonic Causal Logic Part III: Knowledge Representation in Applications 20. Knowledge Representation and Question Answering 21. The Semantic Web: Webizing Knowledge Representation 22. Automated Planning 23. Cognitive Robotics 24. Multi-Agent Systems 25. Knowledge Engineering | Format: Hardback | Language/Sprache: english | 2005 gr | 240x165x47 mm | 1034 pp. Nº de ref. de la librería K9780444522115

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Editorial: ELSEVIER SCIENCE TECHNOLOGY, United Kingdom (2008)
ISBN 10: 0444522115 ISBN 13: 9780444522115
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United Kingdom, 2008. Hardback. Estado de conservación: New. 242 x 174 mm. Language: English . Brand New Book ***** Print on Demand *****. 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. Nº de ref. de la librería APC9780444522115

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Editorial: ELSEVIER SCIENCE TECHNOLOGY, United Kingdom (2008)
ISBN 10: 0444522115 ISBN 13: 9780444522115
Nuevos Tapa dura Cantidad: 10
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United Kingdom, 2008. Hardback. Estado de conservación: New. 242 x 174 mm. Language: English . Brand New Book ***** Print on Demand *****.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. Nº de ref. de la librería APC9780444522115

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