• DocumentCode
    428727
  • Title

    Study on chain structure model of evolutionary game based on asymmetric case

  • Author

    Fang, ZhiGeng ; Liu, Sifeng ; Ruan, Aiqing

  • Author_Institution
    Sch. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., China
  • Volume
    6
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    5818
  • Abstract
    In order to overcome the limitation that traditional evolutionary game model could not compute results of one-shot game or short-term economic equilibrium etc., the paper designs a chain structure model of evolutionary game based on asymmetric income situation. Furthermore, we discover deeply that individuals in the game are in correlative dependence and in conversion each another, and also we establish transfer relation between individual quantity of each population and expected average payments of interrelated parts in per-step of the game. On the basis of these, taking one asymmetric Hawk-Dove game as an example, we imitate and analyze its replication dynamics and evolutionary stable strategy (ESS). For the very first time, the paper points out the evolutionary game phenomena of test-fault in the process of biological evolution by means of the imitation experiment.
  • Keywords
    evolutionary computation; game theory; asymmetric Hawk-Dove game; asymmetric income situation; biological evolution; chain structure model; correlative dependence; evolutionary game; evolutionary stable strategy; one-shot game; replication dynamics; short-term economic equilibrium; transfer relation; Computer aided software engineering; Economic forecasting; Ecosystems; Electronic switching systems; Environmental economics; Environmental factors; Evolution (biology); Forward contracts; Game theory; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2004 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-8566-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2004.1401123
  • Filename
    1401123