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Understanding cooperative behavior in structurally disordered populations

Author

Listed:
  • C. Xu

    (College of Physics, Optoelectronics and Energy, Soochow University)

  • W. Zhang

    (Suzhou Institute of Industrial Technology)

  • P. Du

    (College of Physics, Optoelectronics and Energy, Soochow University)

  • C.W. Choi

    (The Chinese University of Hong Kong)

  • P.M. Hui

    (The Chinese University of Hong Kong)

Abstract

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 ℱ C 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 ℱC I + ℱC II, with ℱC I emphasizing the importance of the small clusters of players especially for ℱC II 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 ℱ C (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.

Suggested Citation

  • C. Xu & W. Zhang & P. Du & C.W. Choi & P.M. Hui, 2016. "Understanding cooperative behavior in structurally disordered populations," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(6), pages 1-11, June.
  • Handle: RePEc:spr:eurphb:v:89:y:2016:i:6:d:10.1140_epjb_e2016-60826-y
    DOI: 10.1140/epjb/e2016-60826-y
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    Keywords

    Statistical and Nonlinear Physics;

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