• DocumentCode
    3246699
  • Title

    A Stigmergy-Based Model for Solving Cooperative Pursuit-Evasion Games in Unknown Environments

  • Author

    Fan, Li ; Dasgupta, Prithviraj

  • Author_Institution
    Comput. Sci. Dept., Univ. of Nebraska, Omaha, NE
  • fYear
    2008
  • fDate
    20-24 Oct. 2008
  • Firstpage
    467
  • Lastpage
    468
  • Abstract
    We describe our preliminary results for a novel emergent algorithm inspired by the phenomenon of stigmergy in insect colonies, to solve the n-collaborative pursuit-evasion game. Our initial results with different numbers of pursuers and evaders in a scenario simulated within the Webots environment, illustrate that pursuers using our emergent algorithm are able to detect different number of evaders with reasonable accuracy in various settings.
  • Keywords
    game theory; mobile robots; autonomous robotic pursuers; cooperative pursuit-evasion game solving; homeland security application; robotic application; stigmergy-based model; unmanned search and rescue; visual signature; Application software; Cameras; Computer science; Electronic mail; Image storage; Insects; Mobile computing; Robots; Terrorism; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems, 2008. SASO '08. Second IEEE International Conference on
  • Conference_Location
    Venezia
  • Print_ISBN
    978-0-7695-3404-6
  • Type

    conf

  • DOI
    10.1109/SASO.2008.72
  • Filename
    4663453