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On generating hypotheses using computer simulations

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  • Kathleen M. Carley

Abstract

Computational modeling is increasingly being used to do theory development. Computer simulation, numerical estimation, and emulation models are used to describe complex systems and generate a series of hypotheses about the behavior of these systems under different scenarios. These hypotheses can serve as guides to the design of human laboratory experiments and can suggest what data to collect in field and gaming situations. Models that are particularly useful in this venue are process models of nonlinear systems where multiple factors dynamically interact. This article describes these models and illustrates how they can be used to generate a series of hypotheses that guide future endeavors. © 1999 John Wiley & Sons, Inc. Syst Eng 2: 69–77, 1999

Suggested Citation

  • Kathleen M. Carley, 1999. "On generating hypotheses using computer simulations," Systems Engineering, John Wiley & Sons, vol. 2(2), pages 69-77.
  • Handle: RePEc:wly:syseng:v:2:y:1999:i:2:p:69-77
    DOI: 10.1002/(SICI)1520-6858(1999)2:23.0.CO;2-0
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    References listed on IDEAS

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    1. Carley, Kathleen M., 1996. "A comparison of artificial and human organizations," Journal of Economic Behavior & Organization, Elsevier, vol. 31(2), pages 175-191, November.
    2. Kathleen Carley & Michael J. Prietula & Zhiang (John) Lin, 1998. "Design Versus Cognition: the Interaction of Agent Cognition and Organizational Design on Organizational Performance," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1-4.
    3. Kathleen M. Carley & Zhiang Lin, 1997. "A Theoretical Study of Organizational Performance Under Information Distortion," Management Science, INFORMS, vol. 43(7), pages 976-997, July.
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    Cited by:

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    2. Paul J. Componation & Sampson E. Gholston & Leslie A. Hyatt & Brandy B. Simmons, 2003. "Benefits of modeling and simulation in implementing a shared component build strategy," Systems Engineering, John Wiley & Sons, vol. 6(2), pages 63-75.
    3. Max Boisot & Ian MacMillan & Kyeong Han, 2007. "Property rights and information flows: a simulation approach," Journal of Evolutionary Economics, Springer, vol. 17(1), pages 63-93, February.
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    6. Ronald E. Giachetti & Veronica Marcelli & José Cifuentes & José A. Rojas, 2013. "An agent‐based simulation model of human‐robot team performance in military environments," Systems Engineering, John Wiley & Sons, vol. 16(1), pages 15-28, March.

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