Cover image for Algorithmic game theory
Title:
Algorithmic game theory
Publication Information:
Cambridge, UK : Cambridge University Press, 2007
Physical Description:
xxi, 754 p. : ill. ; 26 cm.
ISBN:
9780521872829
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30000010192420 QA269 A43 2007 Open Access Book Book
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Summary

Summary

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.


Table of Contents

IntroductionNoam Nisan and Tim Roughgarden and Eva Tardos and Vijay V. Vazirani
Part I Computing in Games
1 Basic solution concepts and computational issuesEva Tardos and Vijay V. Vazirani
2 Algorithms for equilibriaChristos Papadimitriou
3 Equilibrium computation for games in strategic and extensive formBernhard von Stengel
4 Learning, regret minimization and correlated equilibriaAvrim Blum and Yishay Mansour
5 Graphical gamesMichael J. Kearns
6 Cryptography and game theoryYevgeniy Dodis and Tal Rabin
7 Combinatorial algorithms for market equilibria Vijay V. Vazirani
8 Computation of market equilibria by convex programmingBruno Codenotti and Kasturi Varadarajan
Part II Algorithmic Mechanism Design
9 Introduction to mechanism design (for computer scientists)Noam Nisan
10 Mechanism design without moneyJames Schummer and Rakesh V. Vohra
11 Combinatorial auctionsNoam Nisan and Liad Blumrosen
12 Computationally efficient approximation mechanismsRon Lavi
13 Profit maximization in mechanism designJason Hartline and Anna Karlin
14 Distributed algorithmic mechanism designJoan Feigenbaum and Michael Schapira and Scott Shenker
15 Cost sharingKamal Jain and Mohammad Mahdian
16 On-line mechanismsDavid C. Parkes
Part III Quantifying the Inefficiency of Equilibria
17 Introduction to the inefficiency of equillibriaTim Roughgarden and Eva Tardos
18 Routing gamesTim Roughgarden
19 Inefficiency of equilibria in network formation gamesEva Tardos|vTom Wexler
20 Selfish load-balancingBerthold Vocking
21 Efficiency loss and the design of scalable resource allocation mechanismsRamesh Johari
Part IV Additional Topics
22 Incentives and pricing in communication networksAsuman Ozdaglar and R. Srikant
23 Incentives in peer-to-peer systemsJohn Chuang and Michal Feldman and Moshe Babaioff
24 Cascading behavior in networks: algorithmic and economic issuesJon Kleinberg
25 Incentives and information securityRoss Anderson and Tyler Moore and Shishir Nagaraja and Andy Ozment
26 Computational aspects of information marketsDavid M. Pennock and Rahul Sami
27 Manipulation-resistant reputation systemsEric Friedman and Paul Resnick and Rahul Sami
28 Sponsored search auctionsSebastien Lahaie and David M. Pennock and Amin Saberi and Rakesh V. Vohra
29 Algorithmic issues in evolutionary game theoryMichael Kearns and Siddharth Suri