• DocumentCode
    2716381
  • Title

    Vidya: A God Game Based on Intelligent Agents Whose Actions are Devised Through Evolutionary Computation

  • Author

    de Souza Pita, Marcelo R. ; Madeiro, Salomão Sampaio ; de Lima Neto, Fernando Buarque

  • Author_Institution
    Dept. of Comput. Syst., Pernambuco State Univ., Recife
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    352
  • Lastpage
    359
  • Abstract
    Vidya is a strategy computer game, god-style that can be seen as a rich environment where virtual beings compete among themselves for natural resources and strive within the artificial ecosystem. Although in this game the player cannot directly control the intelligent agents, he can give some intuitions to them. Together with these intuitions the agents, called Jivas $the most developed species of the ecosystem, devise actions through evolutionary computation. The game allows also the observation of all interactions among the various beings inhabiting Vidya. Interactions happen in a quasi-autonomous manner which grants the game with an interesting dynamics. The evolved Jiva´s intelligence, which build-up during the game, can be reused in other game scenarios. This work might help on further understanding of some emergent autonomous behaviors and parameterization of intelligent agents that live in closely coupled ecosystems.
  • Keywords
    computer games; evolutionary computation; software agents; Jivas; Vidya; artificial ecosystem; autonomous behavior; computational intelligence; evolutionary computation; god game; intelligent agents; natural resources; strategy computer game; virtual beings; Animals; Artificial intelligence; Competitive intelligence; Computational intelligence; Cows; Ecosystems; Evolutionary computation; Games; Intelligent agent; Modular construction; Autonomous Behavior; Computational Intelligence; Evolutionary Computation; God Game; Vidya;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games, 2007. CIG 2007. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0709-5
  • Type

    conf

  • DOI
    10.1109/CIG.2007.368120
  • Filename
    4219065