Game susceptibility, Correlation and Payoff capacity as a measure of Cooperative behavior in the thermodynamic limit of some Social dilemmas
Colin Benjamin, Rajdeep Tah

TL;DR
This paper compares analytical and numerical methods to understand cooperative behavior in large social dilemma games, highlighting game susceptibility, correlation, and payoff capacity as effective indicators, with Nash equilibrium mapping aligning well with agent-based models.
Contribution
It introduces and validates the use of game susceptibility, correlation, and payoff capacity as indicators of cooperation in the thermodynamic limit, comparing analytical and numerical approaches.
Findings
Nash equilibrium mapping aligns well with agent-based models.
Game susceptibility, correlation, and payoff capacity effectively indicate cooperation.
Individual payoff and payoff capacity are the best indicators for large populations.
Abstract
Analytically, finding the origins of cooperative behavior in infinite-player games is an exciting topic of current interest. In this paper, we compare three analytical methods, i.e., Nash equilibrium mapping (NEM), Darwinian selection (DS) and Aggregate selection (AS), with a numerical Agent based method (ABM) via the game susceptibility, correlation, and payoff capacity as indicators of cooperative behaviour. While the analytical NEM model shows excellent agreement with the numerical ABM, the other analytical models, like AS and DS, show notable divergence with ABM in the thermodynamic limit for the indicators in question. Previously, cooperative behavior was studied by considering game magnetization and individual players' average payoff as indicators. This paper shows that game susceptibility, correlation, and payoff capacity can aid in understanding cooperative behavior in social…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Network Analysis Techniques · Complex Systems and Time Series Analysis
