Volume 3884 of the series Lecture Notes in Computer Science pp 349-360
Convergence and Approximation in Potential Games
- George ChristodoulouAffiliated withDept. of Informatics and Telecommunications, National and Kapodistrian University of Athens
- , Vahab S. MirrokniAffiliated withMIT Computer Science and Artificial Intelligence Laboratory
- , Anastasios SidiropoulosAffiliated withMIT Computer Science and Artificial Intelligence Laboratory
Abstract
We study the speed of convergence to approximately optimal states in two classes of potential games. We provide bounds in terms of the number of rounds, where a round consists of a sequence of movements, with each player appearing at least once in each round. We model the sequential interaction between players by a best-response walk in the state graph, where every transition in the walk corresponds to a best response of a player. Our goal is to bound the social value of the states at the end of such walks. In this paper, we focus on two classes of potential games: selfish routing games, and cut games (or party affiliation games [7]).
- Title
- Convergence and Approximation in Potential Games
- Book Title
- STACS 2006
- Book Subtitle
- 23rd Annual Symposium on Theoretical Aspects of Computer Science, Marseille, France, February 23-25, 2006. Proceedings
- Pages
- pp 349-360
- Copyright
- 2006
- DOI
- 10.1007/11672142_28
- Print ISBN
- 978-3-540-32301-3
- Online ISBN
- 978-3-540-32288-7
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- 3884
- Series ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- Additional Links
- Topics
- Industry Sectors
- eBook Packages
- Editors
-
- Bruno Durand (16)
- Wolfgang Thomas (17)
- Editor Affiliations
-
- 16. LIF, CNRS & Univ. de Provence,
- 17. RWTH Aachen University,
- Authors
-
- George Christodoulou (18)
- Vahab S. Mirrokni (19)
- Anastasios Sidiropoulos (19)
- Author Affiliations
-
- 18. Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens,
- 19. MIT Computer Science and Artificial Intelligence Laboratory,
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