• DocumentCode
    1769526
  • Title

    Exploring strategy selection in populations via a continuous evolutionary game dynamics

  • Author

    Shaolin Tan ; Jinhu Lu ; Yu Hu ; Ogorzalek, M.J.

  • Author_Institution
    Coll. Electr. Inf. Eng., Hunan Univ., Changsha, China
  • fYear
    2014
  • fDate
    1-5 June 2014
  • Firstpage
    2780
  • Lastpage
    2783
  • Abstract
    Strategy selection is a fundamental problem for the evolutionary game process in structured populations. This paper aims at investigating the strategy selection problem by introducing a continuous evolutionary game dynamics on complex networks. It is shown that the population preference for strategies keeps unchanged under random drift in the evolutionary process. However, because of selection, the population will favor one strategy over the other based on the population structure and game payoffs. In particular, for the prisoners dilemma game, our results show that the cooperation is never favored in complete networks. However, it is greatly promoted by cycle networks. The above results are consistent with those in the traditional discrete evolutionary game dynamics. It should be especially pointed out that the proposed framework provides a potential effective tool for analyzing and controlling the evolutionary process in populations.
  • Keywords
    complex networks; demography; game theory; network theory (graphs); complex networks; continuous evolutionary game dynamics; cycle networks; evolutionary process; game payoffs; population preference; population structure; strategy selection problem; structured populations; Artificial neural networks; Biology; Games; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
  • Conference_Location
    Melbourne VIC
  • Print_ISBN
    978-1-4799-3431-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2014.6865750
  • Filename
    6865750