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A Unified Model of Congestion Games with Priorities: Two-Sided Markets with Ties, Finite and Non-Affine Delay Functions, and Pure Nash Equilibria

Kenjiro Takazawa

TL;DR

The paper addresses the open problem of designing a congestion-game framework where more-prioritized players incur finite, potentially non-affine delays on less-prioritized players, while allowing inconsistent resource priorities. It unifies Ackermann et al.'s congestion games with priorities and Bilò and Vinci's affine-priority model into a single model with delay functions $d_e$ depending on counts $n_e^{<p_e(i)}(S)$ and $n_e^{p_e(i)}(S)$. The authors establish the existence of pure Nash equilibria and computability results, develop potential-function constructions for generalized correlated two-sided markets with ties, and extend results to matroid and arbitrary strategy spaces via priority-based decompositions and lazy better-response arguments. The work resolves the open problem, broadens the modeling scope to finite and non-affine delays with potentially inconsistent priorities, and provides a foundation for efficient equilibrium computation and further studies of efficiency metrics in these rich settings.

Abstract

The study of equilibrium concepts in congestion games and two-sided markets with ties has been a primary topic in game theory, economics, and computer science. Ackermann, Goldberg, Mirrokni, Röglin, Vöcking (2008) gave a common generalization of these two models, in which a player more prioritized by a resource produces an infinite delay on less prioritized players. While presenting several theorems on pure Nash equilibria in this model, Ackermann et al.\ posed an open problem of how to design a model in which more prioritized players produce a large but finite delay on less prioritized players. In this paper, we present a positive solution to this open problem by combining the model of Ackermann et al.\ with a generalized model of congestion games due to Bilò and Vinci (2023). In the model of Bilò and Vinci, the more prioritized players produce a finite delay on the less prioritized players, while the delay functions are of a specific kind of affine function, and all resources have the same priorities. By unifying these two models, we achieve a model in which the delay functions may be finite and non-affine, and the priorities of the resources may be distinct. We prove some positive results on the existence and computability of pure Nash equilibria in our model, which extend those for the previous models and support the validity of our model.

A Unified Model of Congestion Games with Priorities: Two-Sided Markets with Ties, Finite and Non-Affine Delay Functions, and Pure Nash Equilibria

TL;DR

The paper addresses the open problem of designing a congestion-game framework where more-prioritized players incur finite, potentially non-affine delays on less-prioritized players, while allowing inconsistent resource priorities. It unifies Ackermann et al.'s congestion games with priorities and Bilò and Vinci's affine-priority model into a single model with delay functions depending on counts and . The authors establish the existence of pure Nash equilibria and computability results, develop potential-function constructions for generalized correlated two-sided markets with ties, and extend results to matroid and arbitrary strategy spaces via priority-based decompositions and lazy better-response arguments. The work resolves the open problem, broadens the modeling scope to finite and non-affine delays with potentially inconsistent priorities, and provides a foundation for efficient equilibrium computation and further studies of efficiency metrics in these rich settings.

Abstract

The study of equilibrium concepts in congestion games and two-sided markets with ties has been a primary topic in game theory, economics, and computer science. Ackermann, Goldberg, Mirrokni, Röglin, Vöcking (2008) gave a common generalization of these two models, in which a player more prioritized by a resource produces an infinite delay on less prioritized players. While presenting several theorems on pure Nash equilibria in this model, Ackermann et al.\ posed an open problem of how to design a model in which more prioritized players produce a large but finite delay on less prioritized players. In this paper, we present a positive solution to this open problem by combining the model of Ackermann et al.\ with a generalized model of congestion games due to Bilò and Vinci (2023). In the model of Bilò and Vinci, the more prioritized players produce a finite delay on the less prioritized players, while the delay functions are of a specific kind of affine function, and all resources have the same priorities. By unifying these two models, we achieve a model in which the delay functions may be finite and non-affine, and the priorities of the resources may be distinct. We prove some positive results on the existence and computability of pure Nash equilibria in our model, which extend those for the previous models and support the validity of our model.
Paper Structure (24 sections, 28 theorems, 67 equations, 2 tables)

This paper contains 24 sections, 28 theorems, 67 equations, 2 tables.

Key Result

Theorem 2.1

A congestion game is a potential game, and hence possesses a pure Nash equilibrium. Moreover, every potential game is represented as a congestion game.

Theorems & Definitions (36)

  • Theorem 2.1: MS96Ros73a
  • Theorem 2.2: IMNSS05
  • Theorem 2.3: Mil96
  • Theorem 2.4: ARV08
  • Theorem 2.5: ARV09
  • Theorem 2.6: AGMRV08
  • Theorem 2.7: AGMRV08
  • Theorem 2.8: AGMRV08
  • Theorem 2.9: AGMRV08
  • Theorem 2.10: AGMRV08
  • ...and 26 more