Title
How Mutation Alters Fitness of Cooperation in Networked Evolutionary Games
Authors
Genki Ichinose, Yoshiki Satotani, Hiroki Sayama
Schedule
Date: Tuesday 5 Sept
Talk Time: TBA
Session: Social dynamics 10:30
Keywords
Evolutionary games, Evolution of cooperation, Average gradient of selection, Complex networks
Abstract
Cooperation is ubiquitous in every level of living organisms. It is known that spatial (network) structure is a viable mechanism for cooperation to evolve. Until quite recently, it has been difficult to predict whether cooperation can evolve at a network (population-wide) level. To address this problem, Pinheiro et al. proposed a numerical metric, called Average Gradient of Selection (AGoS) in 2012. AGoS can characterize and forecast the evolutionary fate of cooperation at a population-wide level. However, stochastic mutation of strategies was not considered yet in the analysis of AGoS. Here we analyzed the evolution of cooperation using AGoS where mutation may occur to strategies of individuals in networks. Our analyses revealed that mutation always has a negative effect on the evolution of cooperation regardless of the fraction of cooperators and network structures. Moreover, we found that mutation affects the fitness of cooperation differently on different social network structures.
