• DocumentCode
    234419
  • Title

    On the stable degree of strategy profile in finite evolutionary networked games

  • Author

    Peilian Guo ; Yuzhen Wang ; Haitao Li

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    2453
  • Lastpage
    2458
  • Abstract
    This paper investigates the stable degree of strategy profile in evolutionary networked games by using the semi-tensor product method. First, based on a normal evolutionary networked game model, the concept for k-degree stability of strategy profile is proposed. Second, using the semi-tensor product of matrices, the game dynamics with “best imitate” strategy updating rule is converted into an algebraic form. Third, the stable degree of strategy profile is analyzed and a necessary and sufficient condition for k-degree stability of strategy profile is obtained. Meanwhile, an algorithm is presented to verify the stable degree of strategy profile. The study of an illustrative example shows that the new results obtained are effective.
  • Keywords
    evolutionary computation; game theory; tensors; algebraic form; best imitate strategy updating rule; finite evolutionary networked games; k-degree stability of strategy profile; matrices semitensor product; semitensor product method; stable degree of strategy profile; Asymptotic stability; Games; Matrix converters; Sociology; Stability analysis; Statistics; Tin; Evolutionary networked game; Semi-tensor product of matrices; Stable degree; Strategy profiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6897019
  • Filename
    6897019