• DocumentCode
    3408042
  • Title

    Modeling of Agent-Based IDSS and Application to Water Environment

  • Author

    Huang, Xifa ; Guo, Lianying ; Wang, Kejun

  • Author_Institution
    Harbin Eng. Univ., Beijing
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    2373
  • Lastpage
    2377
  • Abstract
    Along with the development of computer technology, the intelligent control technology starts to play huge role in various national domains. As an important branch of the intelligent control technology, the Agent technology has revealed its special superiority. In this paper, the current situation of the water pollution control scheme of urban river water environment is presented briefly, and the method of systematically modeling urban river water environment using Agent technology is proposed. After that the key entity - government department which is called decision Agent is made a detailed, deep analysis, several kinds entities of the system are designed using Agent modeling technology. Then a frame structure of multi-Agent Intelligent Decision Support System (IDSS) of urban river water environment is set up based on news mechanism, and the procedure of offering decision are given.
  • Keywords
    control engineering computing; decision support systems; environmental science computing; intelligent control; knowledge based systems; multi-agent systems; water pollution control; computer technology; intelligent control technology; multiagent intelligent decision support system modeling technology; news mechanism; urban river water environment; water pollution control; Automation; Computational modeling; Decision making; Decision support systems; Educational institutions; Intelligent control; Intelligent systems; Rivers; Space technology; Water pollution; Agent; IDSS; Intelligent Control; Water Environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2007. ICMA 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0828-3
  • Electronic_ISBN
    978-1-4244-0828-3
  • Type

    conf

  • DOI
    10.1109/ICMA.2007.4303925
  • Filename
    4303925