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Models as lab equipment: science from computational experiments

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  • Steve Bankes

    (BAE Systems)

Abstract

Computer models are artifacts that facilitate conducting computational experiments. In that sense they are laboratory equipment. The utility of a piece of laboratory equipment comes from the range of useful experiments it supports. However, general purpose models are in general much more costly to create and maintain. Consequently, issues regarding the design of computer models are best understood as pragmatic questions regarding the costs and utility of alternative designs.

Suggested Citation

  • Steve Bankes, 2009. "Models as lab equipment: science from computational experiments," Computational and Mathematical Organization Theory, Springer, vol. 15(1), pages 8-10, March.
    • Handle: RePEc:spr:comaot:v:15:y:2009:i:1:d:10.1007_s10588-008-9046-y
    DOI: 10.1007/s10588-008-9046-y
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    Cited by:

    1. Postawa, Karol & Szczygieł, Jerzy & Kułażyński, Marek, 2020. "A comprehensive comparison of ODE solvers for biochemical problems," Renewable Energy, Elsevier, vol. 156(C), pages 624-633.
    2. Wen Li & Tong Zhou & Qiang Mei & Xiangyang Liu & Muhammad Imran, 2023. "Evolution of micro and small enterprises’ work safety behavior in high-risk industries," Small Business Economics, Springer, vol. 60(1), pages 85-104, January.
    3. Shardul S. Phadnis, 2019. "Effectiveness of Delphi‐ and scenario planning‐like processes in enabling organizational adaptation: A simulation‐based comparison," Futures & Foresight Science, John Wiley & Sons, vol. 1(2), June.
    4. Busch, Jonathan & Roelich, Katy & Bale, Catherine S.E. & Knoeri, Christof, 2017. "Scaling up local energy infrastructure; An agent-based model of the emergence of district heating networks," Energy Policy, Elsevier, vol. 100(C), pages 170-180.

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