• DocumentCode
    583263
  • Title

    Immune system simulation: Modeling the mast cell

  • Author

    Silva, Charles Cássio da ; de Paiva Oliveira, Alcione ; De Araujo Possi, Maurilio ; Cerqueira, Fabio Ribeiro ; Gomes, Andreia Patrícia ; Santana, Luiz Alberto ; Siqueira-Batista, Rodrigo

  • Author_Institution
    Dept. of Inf., Fed. Univ. of Vicosa (UFV), Vicosa, Brazil
  • fYear
    2012
  • fDate
    4-7 Oct. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Among the possibilities for simulating the immune system, the multiagent systems approach has proved to be attractive, since only the behavior of the types of agents is specified. The global behavior emerges from the interactions among agents. This feature is similar to the behavior of the immune system, consisting of large amounts of cell types that interact to maintain the body health. The simulation of the immune system requires modeling various types of cells and substances. This paper presents the modeling of a software agent that simulates the behavior of the mast cells. Some simulations were performed to validate the model.
  • Keywords
    biology computing; cellular biophysics; multi-agent systems; physiological models; simulation; software agents; immune system behavior; immune system simulation; mast cell modeling; multiagent systems approach; software agent; Adaptation models; Biological system modeling; Computational modeling; Immune system; Microorganisms; Multiagent systems; Pathogens; immune system simulation; in-silico models; mast cell; multiagent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4673-2559-2
  • Electronic_ISBN
    978-1-4673-2558-5
  • Type

    conf

  • DOI
    10.1109/BIBM.2012.6392703
  • Filename
    6392703