Selection pressure/Noise driven cooperative behaviour in the thermodynamic limit of repeated games
Rajdeep Tah, Colin Benjamin

TL;DR
This paper investigates how cooperation emerges among infinitely many players in repeated Prisoner's Dilemma games, revealing phase transitions driven by noise and selection pressure using agent-based and analytical models.
Contribution
It introduces a combined agent-based and analytical approach to analyze phase transitions in cooperation within infinite-player repeated games, highlighting the role of noise and strategy types.
Findings
Discontinuity in game magnetization indicates first-order phase transitions.
Phase transition depends on the number of rounds and strategy types.
Both ABM and NEM effectively predict cooperative behavior emergence.
Abstract
Consider the scenario where an infinite number of players (i.e., the \textit{thermodynamic} limit) find themselves in a Prisoner's dilemma type situation, in a \textit{repeated} setting. Is it reasonable to anticipate that, in these circumstances, cooperation will emerge? This paper addresses this question by examining the emergence of cooperative behaviour, in the presence of \textit{noise} (or, under \textit{selection pressure}), in repeated Prisoner's Dilemma games, involving strategies such as \textit{Tit-for-Tat}, \textit{Always Defect}, \textit{GRIM}, \textit{Win-Stay, Lose-Shift}, and others. To analyze these games, we employ a numerical Agent-Based Model (ABM) and compare it with the analytical Nash Equilibrium Mapping (NEM) technique, both based on the \textit{1D}-Ising chain. We use \textit{game magnetization} as an indicator of cooperative behaviour. A significant finding is…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Opinion Dynamics and Social Influence · Game Theory and Applications
