• DocumentCode
    1622589
  • Title

    Inter-applicative game strategy design algorithm

  • Author

    Padwalkar, Omkar ; Deshpande, Kshitija

  • Author_Institution
    Dept. Inf. Technol. Eng., Smt. Kashibai Navale Coll. of Eng., Pune, India
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Design of new strategies according to game models has been a general approach from the start. There are numerous games and each game has a different set of rules and different set of strategies for playing them. Though the design model of the game is similar to a set of particular games of the same domain, still we have to have a different strategic model for every individual game. The strategy design for these games also has to be different. Hence the paper proposes a new model for the design of game strategy by generalising the approach. Virtual generation of various strategies with the inter-application of basic strategies and complex strategies from various set of games into one another is the proposed algorithm. This gives a new approach entirely to the modelling of game strategies. It does so with the help of trained networks which are dynamically created and virtually maintained. This paper proposes a entire new approach in game modelling; more generalized and a more integrated approach.
  • Keywords
    computer games; neural nets; game modelling; game models; game rules; interapplicative game strategy design algorithm; virtual strategy generation; Algorithm design and analysis; Artificial intelligence; Artificial neural networks; Containers; Databases; Games; Heuristic algorithms; ANN (Artificial Neural Network); Artificial Intelligence; Computational; Game; IGA (Idea Generation Algorithm); IGSDA (Inter-applicative Game Strategy Design); Strategy; lateral thinking; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computers and Artificial Intelligence (ECAI), 2013 International Conference on
  • Conference_Location
    Pitesti
  • Print_ISBN
    978-1-4673-4935-2
  • Type

    conf

  • DOI
    10.1109/ECAI.2013.6636191
  • Filename
    6636191