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Multiagent Systems Algorithmic, Game-Theoretic, and Logical Foundations [Hardcover]

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  • Category: Books (Computers)
  • Author:  Shoham, Yoav, Leyton-Brown, Kevin
  • Author:  Shoham, Yoav, Leyton-Brown, Kevin
  • ISBN-10:  0521899435
  • ISBN-10:  0521899435
  • ISBN-13:  9780521899437
  • ISBN-13:  9780521899437
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  504
  • Pages:  504
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-2008
  • Pub Date:  01-May-2008
  • SKU:  0521899435-11-MPOD
  • SKU:  0521899435-11-MPOD
  • Item ID: 100231473
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jan 21 to Jan 23
  • Notes: Brand New Book. Order Now.
A thorough introduction to a burgeoning interdisciplinary field, with an emphasis on foundational material.Multiagent systems are those systems that include multiple autonomous entities with either diverging information or diverging interests, or both. This comprehensive 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.Multiagent systems are those systems that include multiple autonomous entities with either diverging information or diverging interests, or both. This comprehensive 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.This exciting and pioneering new overview of multiagent systems, which are online systems composed of multiple interacting intelligent agents, i.e., online trading, offers a newly seen computer science perspective on multiagent systems, while integrating ideas from operations research, game theory, economics, logic, and even philosophy and linguistics. 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. Written by two of the leading researchers of this engaging field, this book will surely serve as THE reference for researchers in the fastest-growing area of computer science, and be used as a textlC
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