Algorithmic Game Theory

Eva Tardos

ISBN 10: 0521872820 / ISBN 13: 9780521872829

Published by Cambridge University Press, GB, 2007

About this Item

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.

Seller Inventory # LU-9780521872829

Bibliographic Details

• Title: Algorithmic Game Theory
• Publisher: Cambridge University Press, GB
• Publication Date: 2007
• Language: English
• ISBN 10: 0521872820
• ISBN 13: 9780521872829
• Binding: Hardback
• Condition: New
• Weight: 1590 grams

About this title

Synopsis

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.

About the Authors

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

Vijay Vazirani got his Bachelor's degree in Computer Science from MIT in 1979 and his PhD from the University of California at Berkeley in 1983. The central theme in his research career has been the design of efficient algorithms. Additionally, he has also worked on complexity theory, cryptography, coding theory and game theory. In 2001 he published what is widely regarded as the definitive book on Approximation Algorithms; this book has been translated into Japanese, Polish and French. He is a Fellow of the ACM.