Short Sequences of Improvement Moves Lead to Approximate Equilibria in Constraint Satisfaction Games

被引:0
|
作者
Ioannis Caragiannis
Angelo Fanelli
Nick Gravin
机构
[1] University of Patras,Computer Technology Institute “Diophantus” and Department of Computer Engineering and Informatics
[2] Université de Caen Basse-Normandie,CNRS, Laboratoire CREM (UMR 6211)
[3] Microsoft Research,undefined
来源
Algorithmica | 2017年 / 77卷
关键词
Algorithmic game theory; Complexity of equilibria; Pure Nash equilibrium; Potential games; Constraint satisfaction;
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摘要
We present an algorithm that computes approximate pure Nash equilibria in a broad class of constraint satisfaction games that generalize the well-known cut and party affiliation games. Our results improve previous ones by Bhalgat et al. (EC 10) in terms of the obtained approximation guarantee. More importantly, our algorithm identifies a polynomially-long sequence of improvement moves from any initial state to an approximate equilibrium in these games. The existence of such short sequences is an interesting structural property which, to the best of our knowledge, was not known before. Our techniques adapt and extend our previous work for congestion games (FOCS 11) but the current analysis is considerably simpler.
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页码:1143 / 1158
页数:15
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