• DocumentCode
    2805688
  • Title

    Detecting different joint equilibria with an evolutionary approach

  • Author

    Gaskó, Noémi ; Dumitrescu, D. ; Lung, Rodica Ioana

  • Author_Institution
    Babes-Bolyai Univ., Cluj-Napoca, Romania
  • fYear
    2011
  • fDate
    27-29 Jan. 2011
  • Firstpage
    343
  • Lastpage
    347
  • Abstract
    An evolutionary procedure based on nondomination with respect to the generative relation is proposed for detecting different new equilibria types. The notions of joint Pareto-Aumann, Aumann-Pareto, Nash-Aumann and Aumann-Nash equilibrium are introduced. These combinations (representing new solution concepts) may allow an approximation of how people play in real life situations. Some numerical experiments show the importance of this new equilibria types.
  • Keywords
    Pareto optimisation; approximation theory; evolutionary computation; game theory; Aumann-Nash equilibrium; Aumann-Pareto equilibrium; Nash-Aumann equilibrium; approximation theory; different joint equilibria detection; evolutionary approach; joint Pareto-Aumann equilibrium; nondomination evolutionary procedure; real life situation; Games; Informatics; Joints; Lungs; Machine intelligence; Nash equilibrium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics (SAMI), 2011 IEEE 9th International Symposium on
  • Conference_Location
    Smolenice
  • Print_ISBN
    978-1-4244-7429-5
  • Type

    conf

  • DOI
    10.1109/SAMI.2011.5738903
  • Filename
    5738903