• DocumentCode
    2776900
  • Title

    Simulation model design

  • Author

    Fishwick, Paul A.

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Florida Univ., Gainesville, FL, USA
  • fYear
    1995
  • fDate
    3-6 Dec 1995
  • Firstpage
    209
  • Lastpage
    211
  • Abstract
    Presents a structure for defining and categorizing simulation model designs. In the past, simulation researchers have created categories for discrete event simulation: event, process and activity; however, there are problems with this breakdown. First, the major problem is that the taxonomy based on these three sub-types deals with only discrete event methods. Discrete time methods including a spatial decomposition of a physical system (cellular automata, L-Systems) or a continuous model are not included. Second, the terms “event”, “process” and “activity” create a division among classes of simulation languages, rather than a division based on model design. The term “process”, for example, is really a level of abstraction higher than “event” and is not orthogonal to “event.” The structure that we present in this talk is more comprehensive and provides simulationists with a unified framework that is independent of the terms discrete and continuous
  • Keywords
    digital simulation; simulation languages; continuous model; discrete event simulation; model design; simulation languages; simulation model designs; spatial decomposition; taxonomy; unified framework; Analytical models; Books; Computational modeling; Computer simulation; Discrete event simulation; Information analysis; Information science; Object oriented databases; Object oriented modeling; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference Proceedings, 1995. Winter
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-78033018-8
  • Type

    conf

  • DOI
    10.1109/WSC.1995.478725
  • Filename
    478725