• DocumentCode
    554557
  • Title

    Research of task decomposition based on multi-agent cooperation

  • Author

    Jiang Chunfeng ; Zhao Yulan

  • Author_Institution
    Sch. of Inf. Eng., Jilin Agric. Sci. & Technol. Coll., Jilin, China
  • Volume
    4
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1942
  • Lastpage
    1944
  • Abstract
    In MAS, the mutual cooperation must be between agents to complete complex tasks in dynamic environment. The paper analyzed the principle of task decomposition based on multi-agent cooperation. An algorithm for task decomposition was proposed, which combined AOT and heuristic algorithm, and its process was described in detail. The simulated results proved it was efforts to strengthen mutual cooperation between multiple agents and to improve the efficiency of task completion.
  • Keywords
    multi-agent systems; task analysis; AOT; MAS; complex task completion; heuristic algorithm; multiagent cooperation; task decomposition research; Algorithm design and analysis; Atmospheric modeling; Collaboration; Educational institutions; Heuristic algorithms; Multiagent systems; Resource management; AOT; MAS; segmentation point; task decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
  • Conference_Location
    Harbin, Heilongjiang, China
  • Print_ISBN
    978-1-61284-087-1
  • Type

    conf

  • DOI
    10.1109/EMEIT.2011.6023482
  • Filename
    6023482