A thorough introduction to a burgeoning interdisciplinary field, with an emphasis on foundational material.
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Yoav Shoham is Professor of Computer Science at Stanford University, where he has been since receiving his PhD in computer science from Yale University in 1987. Shoham is a Fellow of the Association for Advancement of Artificial Intelligence (AAAI) and charter member of the International Game Theory Society. Aside from authoring four books and numerous other works, he is director of TARK (Theoretical Aspects of Rationality and Knowledge), a non-profit organization.
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Hardback. Zustand: Good. Multiagent systems combine multiple autonomous entities, each having diverging interests or different information. This overview of the field offers a computer science perspective, but also draws on ideas from game theory, economics, operations research, logic, philosophy and linguistics. It will serve as a reference for researchers in each of these fields, and be used as a text for advanced undergraduate or graduate courses. The authors emphasize foundations to create a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, game theory, multiagent communication and learning, social choice, mechanism design, auctions, cooperative game theory, and modal logics of knowledge and belief. For each topic, basic concepts are introduced, examples are given, proofs of key results are offered, and algorithmic considerations are examined. An appendix covers background material in probability theory, classical logic, Markov decision processes and mathematical programming. Bestandsnummer des Verkäufers 00109664808
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Hardback. Zustand: Good. Multiagent systems combine multiple autonomous entities, each having diverging interests or different information. This overview of the field offers a computer science perspective, but also draws on ideas from game theory, economics, operations research, logic, philosophy and linguistics. It will serve as a reference for researchers in each of these fields, and be used as a text for advanced undergraduate or graduate courses. The authors emphasize foundations to create a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, game theory, multiagent communication and learning, social choice, mechanism design, auctions, cooperative game theory, and modal logics of knowledge and belief. For each topic, basic concepts are introduced, examples are given, proofs of key results are offered, and algorithmic considerations are examined. An appendix covers background material in probability theory, classical logic, Markov decision processes and mathematical programming. Bestandsnummer des Verkäufers CIN0521899435G
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Zustand: New. 2008. 1st Edition. Hardcover. A thorough introduction to a burgeoning interdisciplinary field, with an emphasis on foundational material. Num Pages: 504 pages, 14 tables. BIC Classification: UYQ. Category: (U) Tertiary Education (US: College). Dimension: 261 x 187 x 30. Weight in Grams: 1120. Algorithmic, Game-theoretic, and Logical Foundations. 504 pages, 14 tables. A thorough introduction to a burgeoning interdisciplinary field, with an emphasis on foundational material. Cateogry: (U) Tertiary Education (US: College). BIC Classification: UYQ. Dimension: 261 x 187 x 30. Weight: 1038. . . . . . Bestandsnummer des Verkäufers V9780521899437
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