Stochastic dynamics of the prisoner's dilemma with cooperation facilitators
Mauro Mobilia

TL;DR
This paper analyzes how a small number of cooperation facilitators influence the evolutionary dynamics of cooperation and defection in the prisoner's dilemma, providing exact calculations and stochastic simulations.
Contribution
It introduces a model incorporating cooperation facilitators into the prisoner's dilemma and derives exact fixation probabilities and times for finite populations.
Findings
Facilitators increase the likelihood of cooperation fixation when their density exceeds the cost-to-benefit ratio.
Facilitators exponentially enhance cooperation fixation probability when their density is below the ratio.
The influence of facilitators depends critically on their density relative to the game's parameters.
Abstract
In the framework of the paradigmatic prisoner's dilemma, we investigate the evolutionary dynamics of social dilemmas in the presence of "cooperation facilitators". In our model, cooperators and defectors interact as in the classical prisoner's dilemma game, where selection favors defection. However, here the presence of a small number of cooperation facilitators enhances the fitness (reproductive potential) of cooperators, while it does not alter that of defectors. In a finite population of size N, the dynamics of the prisoner's dilemma with facilitators is characterized by the probability that cooperation takes over (fixation probability) and by the mean times to reach the absorbing states. These quantities are computed exactly and using Fokker-Planck equations. Our findings, corroborated by stochastic simulations, demonstrate that the influence of facilitators crucially depends on the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
