Cooperation enhanced by inhomogeneous activity of teaching for evolutionary Prisoner's Dilemma games

By Attila Szolnoki, György Szabó. 2006

409 citations recorded by the source corpus.

Evolutionary Prisoner's Dilemma games with quenched inhomogeneities in the spatial dynamical rules are considered. The players following one of the two pure strategies (cooperation or defection) are distributed on a two-dimensional lattice. The rate of strategy adoption from randomly chosen neighbors is controlled by the payoff difference and a two-value pre-factor w characterizing the players whom the strategy learned from. The reduced teaching activity of players is distributed randomly with concentrations ν at the beginning and fixed further on. Numerical and analytical calculations are performed to study the concentration of cooperators as a function of w and ν for different noise levels and connectivity structures. Significant increase of cooperation is found within a wide range of parameters for this dynamics. The results highlight the importance of asymmetry characterizing the exchange of master-follower role during the strategy adoptions.

Subfields: Genetics, Public Health, Environmental and Occupational Health, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e2062286413b076d48cf7d6b62d174a678f400c3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

In Public Health, Environmental and Occupational Health

In Sociology and Political Science

Citations in the corpus

Statistical physics of vaccination (2016, background): “However, as the cooperation strategy in evolutionary games [571, 572], vaccination sometimes can be regarded as one mixed strategy, i.”
Evolutionary dynamics of group interactions on structured populations: a review (2013, result): “In this case, however, the results are similar to those reported previously for games governed by pairwise interactions [44], in that there exists an optimal intermediate density of highly active players at which cooperation thrives best.”
Statistical physics of human cooperation (2017, background): “Studies that are unique to physicists have led to significant advances in our understanding of the evolution of cooperation, for example by expanding our understanding of the role of heterogeneity of interaction networks [32] or competing agents [44,45], the dynamical organization of cooperation [34”