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Convergence of Ordered Improvement Paths in Generalized Congestion Games

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Algorithmic Game Theory (SAGT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7615))

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Abstract

We consider generalized congestion games, a class of games in which players share a set of strategies and the payoff functions depend only on the chosen strategy and the number of players playing the same strategy, in such a way that fewer such players results in greater payoff. In these games we consider improvement paths. As shown by Milchtaich [2] such paths may be infinite. We consider paths in which the players deviate in a specific order, and prove that ordered best response improvement paths are finite, while ordered better response improvement paths may still be infinite.

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References

  1. Apt, K.R., Simon, S.: A Classification of Weakly Acyclic Games. In: Serna, M. (ed.) SAGT 2012. LNCS, vol. 7615, pp. 1–12. Springer, Heidelberg (2012)

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© 2012 Springer-Verlag Berlin Heidelberg

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Brokkelkamp, K.R., de Vries, M.J. (2012). Convergence of Ordered Improvement Paths in Generalized Congestion Games. In: Serna, M. (eds) Algorithmic Game Theory. SAGT 2012. Lecture Notes in Computer Science, vol 7615. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33996-7_6

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  • DOI: https://doi.org/10.1007/978-3-642-33996-7_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33995-0

  • Online ISBN: 978-3-642-33996-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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