Published October 18, 2019
| Version v1
Book section
Stochastic Coalitional Better-Response Dynamics for Finite Games with Application to Network Formation Games
Contributors
Others:
- Network Engineering and Operations (NEO ) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)
- Indian Institute of Technology Delhi (IIT Delhi)
- Altman, Eitan
- Avrachenkov, Konstantin
- De Pellegrini, Francesco
- El-Azouzi, Rachid
- Wang, Huijuan
Description
We consider a coalition formation among players, in an $n$-player strategic game, over infinite horizon. At each time a randomly selected coalition makes a joint deviation, from a current action profile to a new action profile, which is strictly beneficial for all the players belonging to the coalition.Such deviations define a stochastic coalitional better-response (CBR) dynamics. The stochastic CBR dynamics either converges to a $\cal{K}$-stable equilibrium or becomes stuck in a closed cycle.We also assume that at each time a selected coalition makes mistake in deviation with small probability. We prove that all $\cal{K}$-stable equilibria and all action profiles from closed cycles, having minimum stochastic potential, are stochastically stable. Similar statement holds for strict $\cal{K}$-stable equilibrium. We apply the stochastic CBR dynamics to the network formation games. We show that all strongly stable networks and closed cycles of networks are stochastically stable.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.inria.fr/hal-02372761
- URN
- urn:oai:HAL:hal-02372761v1
Origin repository
- Origin repository
- UNICA