• Title: Algorithmic Game Theory
• Author(s) Noam Nisan, Tim Roughgarden, Eva Tardos, Vijay V. Vazirani
• Publisher: Cambridge University Press (September 24, 2007)
• Hardcover: 776 pages
• eBook: PDF
• Language: English
• ISBN-10: 0521872820
• ISBN-13: 978-0521872829
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Book Description

The subject matter of Algorithmic Game Theory covers many of the hottest area of useful new game theory research, introducing deep new problems, techniques, and perspectives that demand the attention of economists as well as computer scientists. The all-star list of author-contributors makes this book the best place for newcomers to begin their studies.

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.

• Tim Roughgarden is an Assistant Professor in the Department of Computer Science at Stanford University.

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• Game Theory
• Algorithms and Data Structures
• Computational and Algorithmic Mathematics
• Financial Mathematics, Mathematical Economics, and Financial Engineering

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