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ABSTRACT
We consider the price of anarchy of pure Nash equilibria in congestion games with linear latency functions. For asymmetric games, the price of anarchy of maximum social cost is Θ(√N), where N is the number of players. For all other cases of symmetric or asymmetric games and for both maximum and average social cost, the price of anarchy is 5/2. We extend the results to latency functions that are polynomials of bounded degree. We also extend some of the results to mixed Nash equilibria.
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Avrim Blum , MohammadTaghi Hajiaghayi , Katrina Ligett , Aaron Roth, Regret minimization and the price of total anarchy, Proceedings of the 40th annual ACM symposium on Theory of computing, May 17-20, 2008, Victoria, British Columbia, Canada
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Baruch Awerbuch , Yossi Azar , Amir Epstein , Vahab Seyed Mirrokni , Alexander Skopalik, Fast convergence to nearly optimal solutions in potential games, Proceedings of the 9th ACM conference on Electronic commerce, July 08-12, 2008, Chicago, Il, USA
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Martin Gairing , Thomas Lücking , Marios Mavronicolas , Burkhard Monien , Manuel Rode, Nash equilibria in discrete routing games with convex latency functions, Journal of Computer and System Sciences, v.74 n.7, p.1199-1225, November, 2008
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Heiner Ackermann , Petra Berenbrink , Simon Fischer , Martin Hoefer, Concurrent imitation dynamics in congestion games, Proceedings of the 28th ACM symposium on Principles of distributed computing, August 10-12, 2009, Calgary, AB, Canada
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