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Opening the black box—Development, testing and documentation of a mechanistically rich agent-based model

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  • Topping, Chris J.
  • Høye, Toke T.
  • Olesen, Carsten Riis

Abstract

Although increasingly widely used in biology, complex adaptive simulation models such as agent-based models have been criticised for being difficult to communicate and test. This study demonstrates the application of pattern-oriented model testing, and a novel documentation procedure to present a detailed agent-based model of the European brown hare, a species in widespread decline in Europe.

Suggested Citation

  • Topping, Chris J. & Høye, Toke T. & Olesen, Carsten Riis, 2010. "Opening the black box—Development, testing and documentation of a mechanistically rich agent-based model," Ecological Modelling, Elsevier, vol. 221(2), pages 245-255.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:2:p:245-255
    DOI: 10.1016/j.ecolmodel.2009.09.014
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    References listed on IDEAS

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    1. Zhang, Tao & Zhang, David, 2007. "Agent-based simulation of consumer purchase decision-making and the decoy effect," Journal of Business Research, Elsevier, vol. 60(8), pages 912-922, August.
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    Cited by:

    1. Langton, R. & Davies, I.M. & Scott, B.E., 2014. "A simulation model coupling the behaviour and energetics of a breeding central place forager to assess the impact of environmental changes," Ecological Modelling, Elsevier, vol. 273(C), pages 31-43.
    2. Topping, Christopher J. & Dalby, Lars & Valdez, Jose W., 2019. "Landscape-scale simulations as a tool in multi-criteria decision making to support agri-environment schemes," Agricultural Systems, Elsevier, vol. 176(C).
    3. Crouse, Kristin N. & Desai, Nisarg P. & Cassidy, Kira A. & Stahler, Erin E. & Lehman, Clarence L. & Wilson, Michael L., 2022. "Larger territories reduce mortality risk for chimpanzees, wolves, and agents: Multiple lines of evidence in a model validation framework," Ecological Modelling, Elsevier, vol. 471(C).
    4. Haythorne, Sean & Skabar, Andrew, 2013. "An improved pattern-guided evolution approach for the development of adaptive individual-based ecological models," Ecological Modelling, Elsevier, vol. 252(C), pages 72-82.
    5. Topping, Christopher John & Høye, Toke Thomas & Odderskær, Peter & Aebischer, Nicholas J., 2010. "A pattern-oriented modelling approach to simulating populations of grey partridge," Ecological Modelling, Elsevier, vol. 221(5), pages 729-737.
    6. Semeniuk, C.A.D. & Musiani, M. & Hebblewhite, M. & Grindal, S. & Marceau, D.J., 2012. "Incorporating behavioral–ecological strategies in pattern-oriented modeling of caribou habitat use in a highly industrialized landscape," Ecological Modelling, Elsevier, vol. 243(C), pages 18-32.
    7. La Morgia, Valentina & Venturino, Ezio, 2017. "Understanding hybridization and competition processes between hare species: Implications for conservation and management on the basis of a mathematical model," Ecological Modelling, Elsevier, vol. 364(C), pages 13-24.
    8. Olaru, Doina & Purchase, Sharon, 2014. "Rethinking validation: Efficient search of the space of parameters for an agent-based model," Australasian marketing journal, Elsevier, vol. 22(1), pages 60-68.
    9. McLane, Adam J. & Semeniuk, Christina & McDermid, Gregory J. & Marceau, Danielle J., 2011. "The role of agent-based models in wildlife ecology and management," Ecological Modelling, Elsevier, vol. 222(8), pages 1544-1556.
    10. Ziv, Guy & Watson, Elizabeth & Young, Dylan & Howard, David C. & Larcom, Shaun T. & Tanentzap, Andrew J., 2018. "The potential impact of Brexit on the energy, water and food nexus in the UK: A fuzzy cognitive mapping approach," Applied Energy, Elsevier, vol. 210(C), pages 487-498.

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