9780521899437 - Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations von Yoav Shoham , Kevin Leyton-Brown (7 Ergebnisse)

hardcover. Zustand: Fine.

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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. . . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 496 pages. 10.00x7.40x1.30 inches. In Stock.

Zustand: New. Multiagent systems are those that include multiple autonomous entities with either diverging information or diverging interests, or both. This thorough introduction to a burgeoning field is written from a computer science perspective, while bringing togethe.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - '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.Multiagent systems are those that include multiple autonomous entities with either diverging information or diverging interests, or both. This thorough introduction to a burgeoning field is written from a computer science perspective, while bringing together ideas from operations research, game theory, economics, logic, and even philosophy and linguistics.