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On the Complexity of Pure Nash Equilibria in Player-Specific Network Congestion Games

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Book cover Internet and Network Economics (WINE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4858))

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Abstract

Network congestion games with player-specific delay functions do not necessarily possess pure Nash equilibria. We therefore address the computational complexity of the corresponding decision problem, and show that it is NP-complete to decide whether such games possess pure Nash equilibria. This negative result still holds in the case of games with two players only. In contrast, we show that one can decide in polynomial time whether an equilibrium exists if the number of resources is constant.

In addition, we introduce a family of player-specific network congestion games which are guaranteed to possess equilibria. In these games players have identical delay functions, however, each player may only use a certain subset of the edges. For this class of games we prove that finding a pure Nash equilibrium is PLS-complete even in the case of three players. Again, in the case of a constant number of edges an equilibrium can be computed in polynomial time.

We conclude that the number of resources has a bigger impact on the computation complexity of certain problems related to network congestion games than the number of players.

This work was supported in part by the EU within the 6th Framework Programme under contract 001907 (DELIS) and the German Israeli Foundation (GIF) under contract 877/05.

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Xiaotie Deng Fan Chung Graham

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Ackermann, H., Skopalik, A. (2007). On the Complexity of Pure Nash Equilibria in Player-Specific Network Congestion Games. In: Deng, X., Graham, F.C. (eds) Internet and Network Economics. WINE 2007. Lecture Notes in Computer Science, vol 4858. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77105-0_47

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  • DOI: https://doi.org/10.1007/978-3-540-77105-0_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77104-3

  • Online ISBN: 978-3-540-77105-0

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