• DocumentCode
    2616919
  • Title

    An exploration-based taxonomy for emergent behavior analysis in simulations

  • Author

    Gore, Ross ; Reynolds, Paul F., Jr.

  • Author_Institution
    Univ. of Virginia Charlottesville, Charlottesville
  • fYear
    2007
  • fDate
    9-12 Dec. 2007
  • Firstpage
    1232
  • Lastpage
    1240
  • Abstract
    Emergent behaviors in simulations require explanation, so that valid behaviors can be separated from design or coding errors. We present a taxonomy, to be applied to emergent behaviors of unknown validity. Our goal is to facilitate the explanation process. Once a user identifies an emergent behavior as a certain type within our taxonomy, exploration can commence in a manner befitting that type. Exploration based on type supports narrowing of possibilities and suggests exploration methods, thus facilitating the exploration process. Ideally, a taxonomy would be robust, allowing reasonable variation in behavior type assignment without penalty in cost or correctness during the exploration process. The taxonomy we present is robust, comprehensive and suitable for use with our established emergent behavior exploration methods. In addition to the taxonomy, we present our design rationale, and a summary of results from a test application of our taxonomy.
  • Keywords
    behavioural sciences; design rationale; emergent behavior analysis; explanation process; exploration-based taxonomy; Analytical models; Computational modeling; Computer errors; Computer science; Feedback; Reproducibility of results; Research initiatives; Robustness; Taxonomy; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2007 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1306-5
  • Electronic_ISBN
    978-1-4244-1306-5
  • Type

    conf

  • DOI
    10.1109/WSC.2007.4419726
  • Filename
    4419726