• DocumentCode
    2931299
  • Title

    Maximum entropy grey game model between human and nature

  • Author

    Sun Jin-yu ; Fang Zhi-geng

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    436
  • Lastpage
    439
  • Abstract
    Taking the fact that nature chooses the game strategy in accordance with the laws of nature in the real world into account, this paper established of a new game model between human and nature under the gray space. In this model, the object player makes strategy choices based on the maximum entropy criterion, and the subject player follows the strategy of the object player, making strategy choices on the principle of maximizing its return, which points out the shortage of classic game between human and nature, extending the game to the gray space and expanding the application of game theory and grey system theory.
  • Keywords
    entropy; game theory; grey systems; optimisation; system theory; game strategy choices; gray space; grey system theory; maximum entropy criterion; maximum entropy grey game model; object player; return maximization; subject palyer; Educational institutions; Entropy; Game theory; Games; Gold; Linear programming; Uncertainty; Game Between Human And Nature; Grey Game; Maximum Entropy; Object-Subject;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2013 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2166-9430
  • Print_ISBN
    978-1-4673-5247-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2013.6714821
  • Filename
    6714821