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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
Milchtaich, I.: Congestion games with player-specific payoff functions. Games and Economic Behaviour 13, 111–124 (1996)
Milchtaich, I.: Crowding games are sequentially solvable. International Journal of Game Theory 27, 501–509 (1998)
Monderer, D., Shapley, L.S.: Potential games. Games and Economic Behaviour 14, 124–143 (1996)
Rosenthal, R.W.: A class of games possessing pure-strategy Nash equilibria. International Journal of Game Theory 2, 65–67 (1973)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)