An Axiomatic Characterization of Weighted Congestion Games
Аннотация
In weighted congestion games, players’ weights and resource functions are predefined. This way, they can be applied for modeling traffic intensity, exploring market competition, and analyzing other problems with a congestion effect. In some normal-form games how ever, players’ weights and resource functions are not defined explicitly and players may be unaware of their existence. This article finds the necessary and sufficient conditions for representing a normal-form game as a weighted congestion game. Axioms are formulated that guarantee there exist positive weights of players and positive-definite resource functions. It is proved that a normal-form game satisfies the axioms of Positivity and the Independence of Irrelevant Choices (Konishi et al., 1997) if and only if it is a singleton weighted congestion game. This result indicates that the payoff functions of players in hedonic games are represented in the form of a weighted congestion game. It is demonstrated that a normal-form game satisfies the axioms of Non-Negativity, Transfer, Resource Marginal Contribution, and the Independence of Irrelevant Choices if and only if it is a full weighted congestion game with player-independent resource functions.
Скачивания
Литература
86(2), 161–183.
Bilò, V. (2007). On satisfiability games and the power of congestion games. In: Kao, MY., Li,
XY. (eds) Algorithmic Aspects in Information and Management. AAIM 2007. Lecture
Notes in Computer Science, vol 4508. Springer, Berlin, Heidelberg., 231–240.
Bilò, V., Gourvès, L., & Monnot, J. (2023). Project games. Theoretical Computer Science, 940,
97–111.
Bogomolnaia, A., & Jackson, M. O. (2002). The stability of hedonic coalition structures. Games
and Economic Behavior, 38(2), 201–230.
Chun, Y. (1989). A new axiomatization of the Shapley value. Games and Economic Behavior,
1(2), 119–130.
Dreze, J. H., & Greenberg, J. (1980). Hedonic coalitions: Optimality and stability. Economet
rica: Journal of the Econometric Society, 48(4), 987–1003.
Dubey, P., Einy, E., & Haimanko, O. (2005). Compound voting and the Banzhaf index. Games
and Economic Behavior, 51(1), 20–30.
Einy, E., & Haimanko, O. (2011). Characterization of the Shapley–Shubik power index without
the efficiency axiom. Games and Economic Behavior, 73(2), 615–621.
Gómez-Rúa, M., & Vidal-Puga, J. (2010). The axiomatic approach to three values in games
with coalition structure. European Journal of Operational Research, 207(2), 795–806.
Gusev, V., Nesterov, A., Reshetov, M., & Suzdaltsev, A. (2024). The existence of a pure
strategy Nash equilibrium in a discrete ponds dilemma. Games and Economic Behavior,
147, 38–51.
Hollard, G. (2000). On the existence of a pure strategy Nash equilibrium in group formation
games. Economics Letters, 66(3), 283–287.
Kalai, E., & Samet, D. (1987). On weighted Shapley values. International Journal of Game
Theory, 16(3), 205–222.
Konishi, H., Le Breton, M., & Weber, S. (1997a). Equilibria in a model with partial rivalry.
Journal of Economic Theory, 72(1), 225–237.
Konishi, H., Le Breton, M., & Weber, S. (1997b). Equivalence of strong and coalition-proof
Nash equilibria in games without spillovers. Economic Theory, 9, 97–113.
Mavronicolas, M., Milchtaich, I., Monien, B., & Tiemann, K. (2007). Congestion games with
player-specific constants. Mathematical Foundations of Computer Science 2007: 32nd International Symposium, MFCS 2007 Česk` y Krumlov, Czech Republic, August 26-31,
2007 Proceedings 32, 633–644.
Milchtaich, I. (1996). Congestion games with player-specific payoff functions. Games and Eco
nomic Behavior, 13(1), 111–124.
Milchtaich, I. (2009). Weighted congestion games with separable preferences. Games and Eco
nomic Behavior, 67(2), 750–757.
Milchtaich, I. (2013). Representation of finite games as network congestion games. International
Journal of Game Theory, 42, 1085–1096.
Milchtaich, I. (2021). Internalization of social cost in congestion games. Economic Theory, 71(2),
717–760.
Monderer, D. (2007). Multipotential games. Sangal R, Mehta H, Bagga RK, eds.Proc. 20nd
Internat. Joint Conf. Artificial Intelligence (Morgan Kaufmann, San Francisco), 1422
1427.
Monderer, D., & Shapley, L. S. (1996). Potential games. Games and Economic Behavior, 14(1),
124–143.
Myerson, R. B. (1977). Graphs and cooperation in games. Mathematics of Operations Research,
2(3), 225–229.
Nowak, A. S., & Radzik, T. (1995). On axiomatizations of the weighted Shapley values. Games
and Economic Behavior, 8(2), 389–405.
Rosenthal, R. W. (1973). A class of games possessing pure-strategy Nash equilibria. Interna
tional Journal of Game Theory, 2, 65–67.
Shapley, L. S. (1971). Cores of convex games. International Journal of Game Theory, 1, 11–26.
Thomson, W. (2001). On the axiomatic method and its recent applications to game theory and
resource allocation. Social Choice and Welfare, 18(2), 327–386.
Ui, T. (2000). A Shapley value representation of potential games. Games and Economic Beha
vior, 31(1), 121–135.
van den Brink, R., & Pinter, M. (2015). On axiomatizations of the Shapley value for assignment
games. Journal of Mathematical Economics, 60, 110–114.
Young, H. P. (1985). Monotonic solutions of cooperative games. International Journal of Game
Theory, 14(2), 65–72.
Zou, Z., van den Brink, R., Chun, Y., & Funaki, Y. (2021). Axiomatizations of the proportional
division value. Social Choice and Welfare, 57, 35–62.