• DocumentCode
    2452824
  • Title

    A Model and Analysis for Ants-li e Agents

  • Author

    Hamada, Mohamed

  • Author_Institution
    Language Process. Lab, Aizu Univ., Fukushima
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    3076
  • Lastpage
    3081
  • Abstract
    Ants are social insects that work in groups to collectively achieve certain goals that can not be achieved by a single ant. One of the most interesting ants´ behaviors is the highly optimized path that ants follow, in their foraging, between the source of food and the colony´s nest. Researchers are inspired by such optimized behavior in several applications. In this paper, we introduce an integrated environment for ant-like agents based on such ants´ behavior. Our model can simulate and test the behavior of such agents under various conditions and environment changes
  • Keywords
    multi-agent systems; particle swarm optimisation; agent analysis; agent behavior simulation; agent modeling; ant foraging behavior; ant optimized behavior; ant optimized path; ant-like agent; Ant colony optimization; Buildings; Computational modeling; Design engineering; Earth; Fault tolerance; History; Insects; Routing; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2006. ICTTA '06. 2nd
  • Conference_Location
    Damascus
  • Print_ISBN
    0-7803-9521-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2006.1684907
  • Filename
    1684907