https://doi.org/10.1140/epjb/e2016-60826-y
Regular Article
Understanding cooperative behavior in structurally disordered populations
1
College of Physics, Optoelectronics and Energy, Soochow
University, Suzhou
215006, P.R.
China
2
Department of Electronics and Communication Engineering, Suzhou
Institute of Industrial Technology, Suzhou
215104, P.R.
China
3
Department of Physics, The Chinese University of Hong
Kong, Shatin, New
Territories, Hong Kong
SAR, P.R. China
a
e-mail: pmhui@phy.cuhk.edu.hk
Received: 17 October 2015
Received in final form: 10 April 2016
Published online: 15 June 2016
The effects of an inhomogeneous competing environment on the extent of cooperation are studied within the context of a site-diluted evolutionary snowdrift game on a square lattice, with the occupied sites representing the players, both numerically and analytically. The frequency of cooperation ℱC generally shows a non-monotonic dependence on the fraction of occupied sites ρ, for different values of the payoff parameter r. Slightly diluting a lattice leads to a lower cooperation for small and high values of r. For a range of r, however, dilution leads to an enhanced cooperation. An analytic treatment is developed for ℱCI + ℱCII, with ℱCI emphasizing the importance of the small clusters of players especially for ℱCII from the other players is shown to be inadequate. A local configuration approximation (LCA) that treats the local competing configurations as the variables and amounts to include spatial correlation up to the neighborhood of a player’s neighbors is developed. Results of ℱC (ρ) and the number of different local configurations from LCA are in good agreement with simulation results. A transparent physical picture of the dynamics stemming from LCA is also presented. The theoretical approach provides a framework that can be readily applied to competing agent-based models in structurally ordered and disordered populations.
Key words: Statistical and Nonlinear Physics
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2016