• DocumentCode
    3746794
  • Title

    Hybrid simulation studies and Hybrid Simulation systems: Definitions, challenges, and benefits

  • Author

    Navonil Mustafee;John Powell;Sally C. Brailsford;Saikou Diallo;Jose Padilla;Andreas Tolk

  • Author_Institution
    University of Exeter Business School, Rennes Drive, Streatham Campus, EX4 4ST, UK
  • fYear
    2015
  • Firstpage
    1678
  • Lastpage
    1692
  • Abstract
    Hybrid Simulation (HS) is not new. However there is contention in academic discourse as to what qualifies as HS? Is there a distinction between multi-method, multi-paradigm and HS? How do we integrate methods from disciplines like OR and computer science that contribute to the success of a M&S study? How do we validate a hybrid model when the whole (the combined model) is greater than the sum of its parts (the individual models)? Most dynamic simulations have a notion of time, how do we realize a unified representation of simulation time across methodologies, techniques and packages, and how do we prevent causality during inter-model message exchange? These are but some of the questions which we found to be asking ourselves frequently, and this panel paper provided a good opportunity to stimulate a discussion along these lines and to open it up to the M&S community.
  • Keywords
    "Biological system modeling","Analytical models"
  • Publisher
    ieee
  • Conference_Titel
    Winter Simulation Conference (WSC), 2015
  • Electronic_ISBN
    1558-4305
  • Type

    conf

  • DOI
    10.1109/WSC.2015.7408287
  • Filename
    7408287