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Algorithmic Game Theory [Hardcover]

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  • Category: Books (Computers)
  • ISBN-10:  0521872820
  • ISBN-10:  0521872820
  • ISBN-13:  9780521872829
  • ISBN-13:  9780521872829
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  778
  • Pages:  778
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-2007
  • Pub Date:  01-May-2007
  • SKU:  0521872820-11-MPOD
  • SKU:  0521872820-11-MPOD
  • Item ID: 100156678
  • Seller: ShopSpell
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  • Delivery by: Jul 01 to Jul 03
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This book, first published in 2007, covers algorithmic game theory, with contributions from all the leading researchers.More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art. Basic chapters on algorithmic methods for equilibria, mechanism design and combinatorial auctions are followed by chapters on incentives and pricing, cost sharing, information markets and cryptography and security.More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art. Basic chapters on algorithmic methods for equilibria, mechanism design and combinatorial auctions are followed by chapters on incentives and pricing, cost sharing, information markets and cryptography and security.In the last few years game theory has had a substantial impact on computer science, especially on Internet- and e-commerce-related issues. More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art. Basic chapters on algorithmic methods for equilibria, mechanism design and combinatorial auctions are followed by chapters on incentives and pricing, cost sharing, information markets and cryptography and security. Students, researchers and practitioners alike need to learn more about these fascinating theoretical developments and their widespread practical application.Introduction Noam Nisan, Tim Roughgarden, ?va Tardos and Vijay V. Vazirani; Part I. Computing in Games: 1. Basic solution concepts and computational issues ?va Tardos and Vijay V. Vazirani; 2. Algorithms for equilibria Christos Papadimitriou; 3. Equilibrium computation for games in strategic and extensive form Bernhard von Stengel; 4. Learning, regret minimization and correlated equilibria Avrim Blum and Yishay Mansour; 5. Graphical games Michael J. Kearns; 6. Cryptography and game theory Yevgeniy Dodis and Tal Rabin; 7. Combinatorial algorithms for marketlÓ{
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