• DocumentCode
    2781434
  • Title

    Emergent Power Delineation in Multi-Agent Swarms

  • Author

    McLaughlan, Brian ; Hexmoor, Henry

  • Author_Institution
    Dept. of Comput. Sci., Southern Illinois Univ., Carbondale, IL
  • fYear
    2007
  • fDate
    April 30 2007-May 3 2007
  • Firstpage
    204
  • Lastpage
    209
  • Abstract
    An organization is well delineated when all its members have a relative power ranking that is neither too high nor too low. Since responsibility and authority follow fully deconflicted patterns, a delineated organization is well suited for solving problems. We have developed a low-latency, agent-level algorithm for non-deterministically establishing power levels and provide a metric for quantifying the appropriateness of rankings. An agent´s rank is appropriate if it has a unique chain of superiors leading to the highest-ranking individual.
  • Keywords
    multi-agent systems; optimisation; agent-level algorithm; emergent power delineation; multiagent swarms; Computational intelligence; Computer science; Delay; Intelligent networks; Modems; Nominations and elections; Peer to peer computing; Robot sensing systems; Terrorism; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integration of Knowledge Intensive Multi-Agent Systems, 2007. KIMAS 2007. International Conference on
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    1-4244-0944-6
  • Electronic_ISBN
    1-4244-0945-4
  • Type

    conf

  • DOI
    10.1109/KIMAS.2007.369810
  • Filename
    4227549