Algorithmic Game Theory
Noam Nisan · Tim Roughgarden · Eva Tardos · Vijay V. Vazirani
Sep 2007 · Cambridge University Press
4.8star
4 reviewsreport
Ebook
928
Pages
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About this ebook
In recent years game theory has had a substantial impact on computer science, especially on Internet- and e-commerce-related issues. Algorithmic Game Theory, first published in 2007, develops the central ideas and results of this exciting area in a clear and succinct manner. 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 important game theory applications such as incentives and pricing, cost sharing, information markets and cryptography and security. This definitive work will set the tone of research for the next few years and beyond. Students, researchers, and practitioners alike need to learn more about these fascinating theoretical developments and their widespread practical application.
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4.8
4 reviews
About the author
Tim Roughgarden is an Assistant Professor in the Department of Computer Science at Stanford University.
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