• DocumentCode
    3563650
  • Title

    Epidemie process simulator by multi agent simulation considering urban models

  • Author

    Hattori, Yuichi ; Notsu, Akira ; Honda, Katsuhiro

  • Author_Institution
    Dept. of Comput. Sci. & Intell. Syst., Osaka Prefecture Univ., Sakai, Japan
  • fYear
    2014
  • Firstpage
    1403
  • Lastpage
    1407
  • Abstract
    In this paper, we proposed a novel Multi Agent System (MAS) according to SIR model for observing the process of epidemic. SIR model is one of the Mathematical models, whose functions can obtain an approximate solution about infection rates. However, it has difficulty to represent the emergent phenomenon, therefore we used a MAS to solve this problem and created the simulator considering the agent´s commuting route and his house. We examined a transition of the percentage of infected agents on several city models with this simulator.
  • Keywords
    diseases; medical computing; multi-agent systems; MAS; SIR model; city models; emergent phenomenon; epidemic process simulator; infected agents; infection rates; mathematical models; multi agent simulation; Cities and towns; Computational modeling; Diseases; Educational institutions; Equations; Fatigue; Mathematical model; Infection; Multi agent; Social simulator; city model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2014.7044661
  • Filename
    7044661