• DocumentCode
    2753278
  • Title

    Generalized Percolation Processes Using Pretopology Theory

  • Author

    Ben Amor, Soufian ; Levorato, Vincent ; Lavallée, Ivan

  • Author_Institution
    Complex Syst. Modeling & Cognition, Eurocontrol & EPHE Joint Res. Lab., Paris
  • fYear
    2007
  • fDate
    5-9 March 2007
  • Firstpage
    130
  • Lastpage
    134
  • Abstract
    We propose in this paper a generalization of percolation processes in Z2 using the pretopology theory. We formalize the notion of neighborhood by extending it to the concept of proximity, expressing different types of connections that may exist between the elements of a population. A modeling and simulation of forest fire using this approach shows the efficiency of this formalism to provide a realistic and powerful modeling of complex systems.
  • Keywords
    distributed processing; fires; forestry; large-scale systems; percolation; complex systems; forest fire simulation; generalized percolation processes; pretopology theory; Cognition; Diseases; Fires; Mathematical model; Petroleum; Physics; Power system modeling; Probability; Silicon carbide; Social network services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research, Innovation and Vision for the Future, 2007 IEEE International Conference on
  • Conference_Location
    Hanoi
  • Print_ISBN
    1-4244-0694-3
  • Type

    conf

  • DOI
    10.1109/RIVF.2007.369146
  • Filename
    4223063
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2753278