• DocumentCode
    1635397
  • Title

    The effect of assortative mixing on emerging cooperation in an evolutionary network game

  • Author

    Tanimoto, Jun

  • Author_Institution
    Interdiscipl. Grad. Sch. of Eng. Sci., Kyushu Univ., Kasuga
  • fYear
    2009
  • Firstpage
    487
  • Lastpage
    493
  • Abstract
    A series of numerical experiments using a co-evolutionary model for both networks and strategies for 2 square 2 games was carried out. It was proven that there was an interesting relation between assortative mixing of the evolved network and emerging cooperation. In the prisoner´s dilemma (PD) game class, the evolutionary trail for a weak dilemma game leads to an assortative mixing network, and attains cooperative situation easily. A game implemented with a stronger dilemma, however, makes the network very heterogeneous, featuring a negative assortative coefficient to solve the dilemma situation. This implies that the dilemma strength in PD significantly affects the direction the assortative coefficient takes during evolutionary processes in the co-evolution model.
  • Keywords
    evolutionary computation; game theory; assortative mixing network; co-evolutionary model; evolutionary network game; numerical experiments; prisoner dilemma game class; Game theory; Helium; Lattices; Network topology; Structural engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2009. CEC '09. IEEE Congress on
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-2958-5
  • Electronic_ISBN
    978-1-4244-2959-2
  • Type

    conf

  • DOI
    10.1109/CEC.2009.4982985
  • Filename
    4982985