• DocumentCode
    384619
  • Title

    Swarm intelligence: theoretical proof that empirical techniques are optimal

  • Author

    Iourinski, Dima ; Starks, Scott A. ; Kreinovich, Vladik ; Smith, Stephen F.

  • Author_Institution
    Center for Earth & Environ. Studies, Texas Univ., El Paso, TX, USA
  • Volume
    13
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    107
  • Lastpage
    112
  • Abstract
    A natural way to distribute tasks between autonomous agents is to use swarm intelligence techniques, which simulate the way social insects (such as wasps) distribute tasks between themselves. In this paper, we theoretically prove that the corresponding successful biologically inspired formulas are indeed statistically optimal (in some reasonable sense).
  • Keywords
    artificial intelligence; multi-agent systems; optimisation; autonomous agents; intelligent system; optimality proof; probability; social insects; swarm intelligence; Autonomous agents; Biological system modeling; Collaboration; Computer aided manufacturing; Evolution (biology); Insects; Intelligent robots; Parallel robots; Particle swarm optimization; Robot kinematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2002 Proceedings of the 5th Biannual World
  • Print_ISBN
    1-889335-18-5
  • Type

    conf

  • DOI
    10.1109/WAC.2002.1049529
  • Filename
    1049529
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=384619