• DocumentCode
    2631574
  • Title

    A simulation study of mechanisms of group selection of the slime mold Dictyostelium discoideum

  • Author

    Becker, Matthias

  • Author_Institution
    FG Simulation & Modeling, Univ. Hannover, Hannover, Germany
  • fYear
    2010
  • fDate
    5-7 May 2010
  • Firstpage
    321
  • Lastpage
    326
  • Abstract
    Slime molds are fascinating organisms, they can either live as an organism consisting out of a single cell (protozoa) or they can form a multi-cellular organism (pseudoplasmodium). So from the biological point of view, the slime molds are studied in order to understand the evolutionary step from a single cell organism to a multi-cellular organism. Studies have shown that the behavior of cooperating single cell organisms exhibit synergistic emergent intelligence, for example finding shortest paths. Just recently, simulation and experiments with a real slime mold (Physarum polycephalum) have been used for traveling salesman like problems. In this work we present a simulation model for the slime mold Dictyostelium discoideum. Different to other studies, here the whole life-cycle is modeled and simulated. This model is used to study the mechanism of cooperation of single cells: We compare the mechanism of altruistic group selection against individual and egoistic selection. It turns out that simple signaling mechanisms are sufficient for a complex behavior of Dictyostelium discoideum, that allows altruistic behavior on cell level, helping the whole population to survive.
  • Keywords
    biology; cellular biophysics; simulation; group selection; multi-cellular organism; protozoa; pseudoplasmodium; simulation study; single cell; slime mold dictyostelium discoideum; synergistic emergent intelligence; Computer architecture; Computer networks; Control systems; Databases; Hardware; Informatics; Intrusion detection; Statistical analysis; Switches; System buses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems (INES), 2010 14th International Conference on
  • Conference_Location
    Las Palmas
  • Print_ISBN
    978-1-4244-7650-3
  • Type

    conf

  • DOI
    10.1109/INES.2010.5483821
  • Filename
    5483821