• DocumentCode
    2917265
  • Title

    Creature Academy: A system for virtual creature evolution

  • Author

    Pilat, Marcin L. ; Jacob, Christian

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    3289
  • Lastpage
    3297
  • Abstract
    In this paper, we present creature academy, a virtual laboratory that allows for the evolution of form and function within simulated physical 3D environments. Creature academy can be used to explore evolutionary mechanisms, design, learning and other processes studied in artificial life simulations. Our system allows to perform hierarchical evolutionary experiments and ecosystem-inspired setups to investigate bodied creatures that interact, compete, adapt, and evolve. As a first proof of concept, we use creature academy to evolve morphologies and motion strategies of virtual creatures that walk and jump. We then present results that compare hierarchical evolution scenarios to generate creatures that excel in both walking and jumping, demonstrating how to evolve from creature specialists to generalists.
  • Keywords
    artificial life; evolutionary computation; virtual reality; 3D environments; ecosystem-inspired setups; evolutionary mechanisms; hierarchical evolution scenarios; hierarchical evolutionary; virtual creature evolution; virtual laboratory; Biological system modeling; Computational modeling; Ecosystems; Encoding; Evolution (biology); Genetic algorithms; Jacobian matrices; Legged locomotion; Morphology; Parallel machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4631243
  • Filename
    4631243