• DocumentCode
    238785
  • Title

    Characterizing the impact of selection on the evolution of cooperation in complex networks

  • Author

    Shasha Feng ; Shaolin Tan ; Jinhu Lu

  • Author_Institution
    Acad. of Math. & Syst. Sci., Beijing, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    813
  • Lastpage
    818
  • Abstract
    Cooperative behaviors are widespread in biological and social populations. Yet the evolution of cooperation is still a puzzle in evolutionary theory. Recent researches have indicated that complex interactions among individuals may promote the evolution of cooperation under weak selection. However, the selection effect on cooperation has not been completely understood. This paper aims to characterize the impact of selection on the emergence of cooperation in evolutionary dynamics on complex networks. By theoretical analysis and numerical simulation, it is found that selection favors defection over cooperation for the birth-death process, while it may favor cooperation over defection for the death-birth process. Furthermore, we come to the condition on which cooperation is dominant over defection. In particular, there exists an optimal selection intensity which favors cooperation the best for the death-birth process. The obtained results indicate that appropriate selection can promote the evolution of cooperation in structured populations under some circumstances.
  • Keywords
    behavioural sciences; complex networks; evolutionary computation; game theory; network theory (graphs); biological population; birth-death process; complex networks; cooperation evolution selection; death-birth process; evolutionary dynamics; evolutionary theory; numerical simulation; selection intensity; social population; Complex networks; Evolution (biology); Games; Lattices; Mathematical model; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2014 IEEE Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6626-4
  • Type

    conf

  • DOI
    10.1109/CEC.2014.6900325
  • Filename
    6900325