Coevolution of Actions and Opinions in Networks of Coordinating and Anti-Coordinating Agents

Fuente: arXiv
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Main Authors: Liang, Hong, Ye, Mengbin, Zino, Lorenzo, Xia, Weiguo
Format: Preprint
Published: 2025
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author Liang, Hong
Ye, Mengbin
Zino, Lorenzo
Xia, Weiguo
author_facet Liang, Hong
Ye, Mengbin
Zino, Lorenzo
Xia, Weiguo
contents In this paper, we investigate the dynamics of coordinating and anti-coordinating agents in a coevolutionary model for actions and opinions. In the model, the individuals of a population interact on a two-layer network, sharing their opinions and observing others' action, while revising their own opinions and actions according to a game-theoretic mechanism, grounded in the social psychology literature. First, we consider the scenario of coordinating agents, where convergence to a Nash equilibrium (NE) is guaranteed. We identify conditions for reaching consensus configurations and establish regions of attraction for these equilibria. Second, we study networks of anti-coordinating agents. In this second scenario, we prove that all trajectories converge to a NE by leveraging potential game theory. Then, we establish analytical conditions on the network structure and model parameters to guarantee the existence of consensus and polarized equilibria, characterizing their regions of attraction.
format Preprint
id arxiv_https___arxiv_org_abs_2505_03078
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Coevolution of Actions and Opinions in Networks of Coordinating and Anti-Coordinating Agents
Liang, Hong
Ye, Mengbin
Zino, Lorenzo
Xia, Weiguo
Computer Science and Game Theory
Social and Information Networks
Systems and Control
In this paper, we investigate the dynamics of coordinating and anti-coordinating agents in a coevolutionary model for actions and opinions. In the model, the individuals of a population interact on a two-layer network, sharing their opinions and observing others' action, while revising their own opinions and actions according to a game-theoretic mechanism, grounded in the social psychology literature. First, we consider the scenario of coordinating agents, where convergence to a Nash equilibrium (NE) is guaranteed. We identify conditions for reaching consensus configurations and establish regions of attraction for these equilibria. Second, we study networks of anti-coordinating agents. In this second scenario, we prove that all trajectories converge to a NE by leveraging potential game theory. Then, we establish analytical conditions on the network structure and model parameters to guarantee the existence of consensus and polarized equilibria, characterizing their regions of attraction.
title Coevolution of Actions and Opinions in Networks of Coordinating and Anti-Coordinating Agents
topic Computer Science and Game Theory
Social and Information Networks
Systems and Control
url https://arxiv.org/abs/2505.03078