• Title of article

    MODELING SELF-ORGANIZING SYSTEMS WITH SOCIAL INSECTS ALGORITHMS

  • Author/Authors

    Cyrille BERTELLE، نويسنده , , Antoine DUTOT and Rawan GHNEMAT، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    15
  • From page
    18
  • To page
    32
  • Abstract
    Self-organization is common in natural systems. This tutorialdescribes some of these systems, specifically from insect societies like in bees,termites or ant colonies. In a first part, a modeling process is explained.Objects and phenomena targeted by these methods are presented. Naturalor social complex systems are the context of these objects and phenomena.Basic algorithms presented for example in [8] are given. These algorithmsbelongs to the class of swarm intelligence methods describing how a networkof interacting entities can lead to emergent properties of the whole system. Ina second part, more original applications are presented, based on extensionsof these basic algorithms in order to model ecosystems, urban dynamics orto propose a decentralized method to distribute simulations over dynamicalcommunication graphs
  • Keywords
    Complex systems , ant colony optimiza-tion , self-organization , swarm intelligence , emergent properties
  • Journal title
    Brain. Broad Research in Artificial Intelligence and Neuroscience
  • Serial Year
    2010
  • Journal title
    Brain. Broad Research in Artificial Intelligence and Neuroscience
  • Record number

    658583