Dynamic Phase Structures in the Evolution of Conventions

TL;DR

This paper presents an agent-based model to study how conventions evolve in a finite population, highlighting the phase structures and dynamics influenced by social dependencies and payoffs.

Contribution

It introduces a novel simulation framework capturing the evolutionary phase structures of conventions considering social influences and payoff dependencies.

Findings

Identification of distinct phase structures in convention evolution

Influence of guru effects and societal standings on convention adoption

Simulation results showing dynamic shifts in conventions over time

Abstract

This paper describes an agent-based model of a finite group of agents in a single population who each choose which convention to advocate, and which convention to practice. Influences or dependencies in agents choice exists in the form of guru effects and what others practice. With payoffs being dependent on cumulative rewards or actual standings in society, we illustrate the evolutionary dynamics of the phase structure of each group in the population via simulations.