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Main Authors: Yuan, Hongxing, Zhang, Xuan, Wei, Chunyu, Fan, Yushun
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2510.02078
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author Yuan, Hongxing
Zhang, Xuan
Wei, Chunyu
Fan, Yushun
author_facet Yuan, Hongxing
Zhang, Xuan
Wei, Chunyu
Fan, Yushun
contents This paper presents a model of multi-group Bayesian games (MBGs) to describe the group behavior in Bayesian games, and gives methods to find (strongly) multi-group Bayesian Nash equilibria (MBNE) of this model with a proposed transformation. MBNE represent the optimal strategy \textit{profiles} under the situation where players within a group play a cooperative game, while strongly MBNE characterize the optimal strategy \textit{profiles} under the situation where players within a group play a noncooperative game. Firstly, we propose a model of MBGs and give a transformation to convert any MBG into a multi-group ex-ante agent game (MEAG) which is a normal-form game. Secondly, we give a sufficient and necessary condition for a MBG's MEAG to be (strongly) potential. If it is (strongly) potential, all its (strongly) Nash equilibria can be found, and then all (strongly) MBNE of the MBG can be obtained by leveraging the transformation's good properties. Finally, we provide algorithms for finding (strongly) MBNE of a MBG whose MEAG is (strongly) potential and use an illustrative example to verify the correctness of our results.
format Preprint
id arxiv_https___arxiv_org_abs_2510_02078
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Multi-group Bayesian Games
Yuan, Hongxing
Zhang, Xuan
Wei, Chunyu
Fan, Yushun
Computer Science and Game Theory
This paper presents a model of multi-group Bayesian games (MBGs) to describe the group behavior in Bayesian games, and gives methods to find (strongly) multi-group Bayesian Nash equilibria (MBNE) of this model with a proposed transformation. MBNE represent the optimal strategy \textit{profiles} under the situation where players within a group play a cooperative game, while strongly MBNE characterize the optimal strategy \textit{profiles} under the situation where players within a group play a noncooperative game. Firstly, we propose a model of MBGs and give a transformation to convert any MBG into a multi-group ex-ante agent game (MEAG) which is a normal-form game. Secondly, we give a sufficient and necessary condition for a MBG's MEAG to be (strongly) potential. If it is (strongly) potential, all its (strongly) Nash equilibria can be found, and then all (strongly) MBNE of the MBG can be obtained by leveraging the transformation's good properties. Finally, we provide algorithms for finding (strongly) MBNE of a MBG whose MEAG is (strongly) potential and use an illustrative example to verify the correctness of our results.
title Multi-group Bayesian Games
topic Computer Science and Game Theory
url https://arxiv.org/abs/2510.02078