• DocumentCode
    596780
  • Title

    The affection of noise strategy in the naming game

  • Author

    Jiabo Hao ; Guangping Chen ; Guolin Pu ; Zhiyuan Zhang ; Jiang Luo

  • Author_Institution
    Dept. of Phys. & Eng. Technol., Sichuan Univ. of Arts & Sci., Dazhou, China
  • fYear
    2012
  • fDate
    18-20 Oct. 2012
  • Firstpage
    1185
  • Lastpage
    1188
  • Abstract
    After investigating the naming game on noise networks, which are constructed as scale-free networks presented by Barabási-Albert (BA). A noise parameter strategy, which governs the frequency of high-degree agents acting as speakers in communication, is introduced. It is found that the agreement time is a non-monotonic function with the noise parameter and there exists an optimal value of the noise parameter which results in the shortest agreement time on naming an object for both scale-free naming games. This phenomenon shows that, although a strong influence of high-degree agents favors agreements achievement, very strong influences inhibit the constringency process, making it even slower than in the absence of influence of high-degree agents. Another phenomenon is that the convergence speed is related to the total memory. These conclusions are beneficial to understand the dynamics of the naming game with noise parameter strategy.
  • Keywords
    complex networks; game theory; multi-agent systems; network theory (graphs); social sciences; agreement time; constringency process; high-degree agent frequency; noise networks; noise parameter strategy; nonmonotonic function; scale-free naming games; scale-free networks; Barium; Complex networks; Convergence; Educational institutions; Evolution (biology); Games; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-1743-6
  • Type

    conf

  • DOI
    10.1109/ICACI.2012.6463363
  • Filename
    6463363