Truncation selection and diffusion on lattices
Bryce Morsky, Chris T. Bauch

TL;DR
This paper systematically investigates how truncation selection influences cooperation in evolutionary games on lattices, revealing complex effects depending on the truncation method, thresholds, and diffusion order, with potential to facilitate cooperation.
Contribution
It introduces and compares independent and dependent truncation selection methods on lattices, analyzing their effects on cooperation and extinction in evolutionary games.
Findings
Independent truncation can lead to cooperation decline, polymorphisms, or extinction.
Dependent truncation affects cooperation differently in Hawk-Dove and Stag Hunt games.
Certain truncation thresholds can maximize cooperation, especially with diffusion in specific orders.
Abstract
Evolutionary games on graphs have been extensively studied. A variety of graph structures, graph dynamics, and behaviours of replicators have been explored. These models have primarily been studied in the framework of facilitation of cooperation, and much previous research has shed light on this field of study. However, there has been little attention devoted to truncation selection as most models employ proportional selection (such as in the replicator equation) or `imitate the best.' Here we systematically explore truncation selection on periodic square lattices, where replicators below a fitness threshold are culled and the reproduction probabilities are equal for all survivors. We employ two variations of this method: independent truncation, where the threshold is fixed; and dependent truncation, which is a generalization of `imitate the best.' Further, we explore the effects of…
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.
Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Evolution and Genetic Dynamics · Mathematical and Theoretical Epidemiology and Ecology Models
