Network coevolution drives segregation and enhances Pareto optimal equilibrium selection in coordination games
Miguel A. Gonz\'alez Casado, Angel S\'anchez, Maxi San Miguel

TL;DR
This paper investigates how the coevolution of network structure and agent actions influences coordination and equilibrium selection in games, showing that network plasticity can promote payoff-dominant outcomes before system fragmentation occurs.
Contribution
It introduces a coevolution model coupling network dynamics with agent actions in coordination games, analyzing the effects of different update rules and network plasticity on system behavior.
Findings
Network plasticity causes a transition from full coordination to fragmentation.
Intermediate plasticity promotes payoff-dominant equilibrium selection.
Different update rules lead to distinct fragmentation behaviors.
Abstract
In this work we assess the role played by the dynamical adaptation of the interactions network, among agents playing Coordination Games, in reaching global coordination and in the equilibrium selection. Specifically, we analyze a coevolution model that couples the changes in agents' actions with the network dynamics, so that while agents play the game, they are able to sever some of their current connections and connect with others. We focus on two update rules: Replicator Dynamics (RD) and Unconditional Imitation (UI). We investigate a Pure Coordination Game (PCG), in which choices are equivalent, and on a General Coordination Game (GCG), for which there is a risk-dominant action and a payoff-dominant one. The network plasticity is measured by the probability to rewire links. Changing this plasticity parameter, there is a transition from a regime in which the system fully coordinates…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Opinion Dynamics and Social Influence · Mathematical and Theoretical Epidemiology and Ecology Models
