The Structure and Complexity of Nash Equilibria for a Selfish Routing Game
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
Correlated equilibria in graphical games
Proceedings of the 4th ACM conference on Electronic commerce
The Price of Routing Unsplittable Flow
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
The price of anarchy of finite congestion games
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Theoretical Computer Science - Automata, languages and programming: Algorithms and complexity (ICALP-A 2004)
Tight bounds for worst-case equilibria
ACM Transactions on Algorithms (TALG)
Selfish Load Balancing and Atomic Congestion Games
Algorithmica
Mediators in position auctions
Proceedings of the 8th ACM conference on Electronic commerce
Algorithmica
Computing correlated equilibria in multi-player games
Journal of the ACM (JACM)
Game-theoretic recommendations: some progress in an uphill battle
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
A new model for selfish routing
Theoretical Computer Science
Nash equilibria in discrete routing games with convex latency functions
Journal of Computer and System Sciences
Artificial Intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Convergence time to Nash equilibria
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
Strong and correlated strong equilibria in monotone congestion games
WINE'06 Proceedings of the Second international conference on Internet and Network Economics
Nash equilibria, the price of anarchy and the fully mixed nash equilibrium conjecture
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
On the price of anarchy and stability of correlated equilibria of linear congestion games,,
ESA'05 Proceedings of the 13th annual European conference on Algorithms
Tight bounds for selfish and greedy load balancing
ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part I
Congestion games, load balancing, and price of anarchy
CAAN'04 Proceedings of the First international conference on Combinatorial and Algorithmic Aspects of Networking
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Mediators are third parties to whom the players in a game can delegate the task of choosing a strategy; a mediator forms a mediated equilibrium if delegating is a best response for all players. Mediated equilibria have more power to achieve outcomes with high social welfare than Nash or correlated equilibria, but less power than a fully centralized authority. Here we begin the study of the power of mediation by using the mediation analogue of the price of stability--the ratio of the social cost of the best mediated equilibrium $\textsc{bme}$ to that of the socially optimal outcome $\textsc{opt}$. We focus on load-balancing games with social cost measured by weighted average latency. Even in this restricted class of games, $\textsc{bme}$ can range from as good as $\textsc{opt}$ to no better than the best correlated equilibrium. In unweighted games $\textsc{bme}$ achieves $\textsc{opt}$; the weighted case is more subtle. Our main results are (1) that the worst-case ratio $\textsc{bme}/\textsc{opt}$ is at least $(1+\sqrt{2})/2\approx 1.2071$ (and at most 1 + 驴 ≈ 2.618 [3]) for linear-latency weighted load-balancing games, and that the lower bound is tight when there are two players; and (2) tight bounds on the worst-case $\textsc{bme}/\textsc{opt}$ for general-latency weighted load-balancing games. We also give similarly detailed results for other natural social-cost functions.