• DocumentCode
    2491935
  • Title

    The knowledge-based simulation

  • Author

    Durán, Elena ; Costaguta, Rosanna

  • Author_Institution
    Univ. Nacional de Santiago del Estero, Argentina
  • fYear
    1998
  • fDate
    5-9 Apr 1998
  • Firstpage
    174
  • Lastpage
    179
  • Abstract
    The convergence of the representation based methods used in artificial intelligence and simulation has originated the emergence of knowledge-based simulation. The objective of this new approach is to achieve more powerful and understandable simulations, which will allow the simulation developers to construct, validate, develop and maintain simulations that can model a wider range of complex systems, and which will allow the users to interact with the simulation in order to achieve a greater comprehension of the modeling phenomenon. There is a definition of the possible contributions that the expert systems can give to the different life cycle stages of the discrete event simulation. Specifically, the authors propose an example of a discrete event system, in particular a waiting phenomenon, and consequently constructing production rules to be applied in model development, parameter estimation and results analysis and interpretation
  • Keywords
    discrete event simulation; expert systems; knowledge representation; large-scale systems; parameter estimation; artificial intelligence; complex systems; discrete event simulation; expert systems; knowledge-based simulation; model development; modeling; parameter estimation; production rules; representation based methods; results analysis; results interpretation; user interaction; Analytical models; Artificial intelligence; Computational modeling; Discrete event simulation; Expert systems; Knowledge based systems; Knowledge representation; Parameter estimation; Performance analysis; Production systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Symposium, 1998. Proceedings. 31st Annual
  • Conference_Location
    Boston, MA
  • ISSN
    1080-241X
  • Print_ISBN
    0-8186-8418-6
  • Type

    conf

  • DOI
    10.1109/SIMSYM.1998.668485
  • Filename
    668485