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ABSTRACT
A strong equilibrium (Aumann 1959) is a pure Nash equilibrium which is resilient to deviations by coalitions. We define the strong price of anarchy to be the ratio of the worst case strong equilibrium to the social optimum. In contrast to the traditional price of anarchy, which quantifies the loss incurred due to both selfishness and lack of coordination, the strong price of anarchy isolates the loss originated from selfishness from that obtained due to lack of coordination. We study the strong price of anarchy in two settings, one of job scheduling and the other of network creation. In the job scheduling game we show that for unrelated machines the strong price of anarchy can be bounded as a function of the number of machines and the size of the coalition. For the network creation game we show that the strong price of anarchy is at most 2. In both cases we show that a strong equilibrium always exists, except for a well defined subset of network creation games.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Susanne Albers , Stefan Eilts , Eyal Even-Dar , Yishay Mansour , Liam Roditty, On nash equilibria for a network creation game, Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm, p.89-98, January 22-26, 2006, Miami, Florida
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CITED BY 4
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Shlomi Dolev , Elad M. Schiller , Paul G. Spirakis , Philippas Tsigas, Strategies for repeated games with subsystem takeovers: implementable by deterministic and self-stabilizing automata (extended abstract), Proceedings of the 2nd International Conference on Autonomic Computing and Communication Systems, p.1-10, September 23-25, 2008, Turin, Italy
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