Evolutionary games on the lattice: death and birth of the fittest
Eric Foxall, Nicolas Lanchier

TL;DR
This paper explores how spatial structure influences evolutionary game dynamics on a lattice, revealing that local interactions can lead to different long-term outcomes than mean-field models, often favoring cooperation.
Contribution
It demonstrates that spatial interactions significantly alter evolutionary game outcomes, showing discrepancies with mean-field predictions and highlighting the importance of local interactions.
Findings
Spatial structure can lead to strategy fixation or coexistence different from mean-field models.
Space favors cooperation in the prisoner's dilemma, contrary to traditional predictions.
Local interactions play a crucial role in the evolution of strategies on lattices.
Abstract
This paper investigates the long-term behavior of an interacting particle system of interest in the hot topic of evolutionary game theory. Each site of the -dimensional integer lattice is occupied by a player who is characterized by one of two possible strategies. Following the traditional modeling approach of spatial games, the configuration is turned into a payoff landscape that assigns a payoff to each player based on her strategy and the strategy of her neighbors. The payoff is then interpreted as a fitness, by having each player independently update their strategy at rate one by mimicking their neighbor with the largest payoff. With these rules, the mean-field approximation of the spatial game exhibits the same asymptotic behavior as the popular replicator equation. Except for a coexistence result that shows an agreement between the process and the mean-field model, our analysis…
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.
