• DocumentCode
    1914161
  • Title

    Divide and conquer: A four-fold docking experience of agent-based models

  • Author

    Arifin, S. M Niaz ; Davis, Gregory J. ; Kurtz, Steve ; Gentile, James E. ; Zhou, Ying ; Madey, Gregory R.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, Notre Dame, IN, USA
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    575
  • Lastpage
    586
  • Abstract
    Verification and validation (V&V) techniques are used in agent-based modeling (ABM) to determine whether the model is an accurate representation of the real system. Docking is a form of V&V that tries to align multiple simulation models. In a previous paper, we described the docking process of an ABM that simulates the life cycle of Anopheles gambiae. Results showed that the implementations were docked for adult but not for aquatic mosquito populations. In this paper, following the `Divide and Conquer´ paradigm, we compartmentalize the simulation world to prohibit the propagation of errors between compartments. Using four separate implementations that sprung from the same core model, we describe a series of docking experiments, analyze the results, and show how they lead to a successful dock. The complete four-fold docking encompasses verification between the four implementations, as well as validation against the core model with respect to these implementations.
  • Keywords
    divide and conquer methods; formal verification; software agents; Anopheles gambiae; agent-based models; divide-and-conquer paradigm; four-fold docking process; verification-and-validation technique; Analytical models; Biological system modeling; Computational modeling; Data models; Diseases; Equations; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2010 Winter
  • Conference_Location
    Baltimore, MD
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4244-9866-6
  • Type

    conf

  • DOI
    10.1109/WSC.2010.5679130
  • Filename
    5679130