• DocumentCode
    23653
  • Title

    Evolutionarily Stable Strategy of Networked Evolutionary Games

  • Author

    Daizhan Cheng ; Tingting Xu ; Hongsheng Qi

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
  • Volume
    25
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    1335
  • Lastpage
    1345
  • Abstract
    The evolutionarily stable strategy (ESS) of networked evolutionary games (NEGs) is studied. Analyzing the ESS of infinite popular evolutionary games and comparing it with networked games, a new verifiable definition of ESS for NEGs is proposed. Then, the fundamental evolutionary equation (FEE) is investigated and used to construct the strategy profile dynamics (SPDs) of homogeneous NEGs. Two ways for verifying the ESS are proposed: 1) using the SPDs to verify it directly. The SPDs provides complete information about the NEGs, and then necessary and sufficient conditions are revealed. It can be used for NEGs with small size and 2) some sufficient conditions are proposed to verify the ESS of NEGs via their FEEs. This method is particularly suitable for large scale networks. Some illustrative examples are included to demonstrate the theoretical results.
  • Keywords
    evolutionary computation; game theory; ESS verification; FEE; SPDs; evolutionarily stable strategy; fundamental evolutionary equation; homogeneous NEGs; infinite popular evolutionary games; large scale networks; networked evolutionary games; strategy profile dynamics; sufficient conditions; Equations; Games; Mathematical model; Probabilistic logic; Sociology; Statistics; Vectors; Evolutionarily stable strategy (ESS); fundamental evolutionary equation (FEE); networked evolutionary game (NEG); semitensor product (STP) of matrices; semitensor product (STP) of matrices.;
  • fLanguage
    English
  • Journal_Title
    Neural Networks and Learning Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2162-237X
  • Type

    jour

  • DOI
    10.1109/TNNLS.2013.2293149
  • Filename
    6683009