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Model driven experimentation

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  • Alexander H. Levis
  • W.S. Vaughan

Abstract

Experiments with teams of human subjects in which they carry out realistic decision‐making tasks are difficult to design and control. There are many variables, each one with a wide range of values. The use of detailed executable models in the design of experiments is perceived as one feasible approach to address these issues. A process for the use of modeling and simulation in the design of complex experiments that address command and control issues is described; the approach is then generalized to address series of experiments. The current theoretical and experimental research effort on Adaptive Architectures for Command and Control (A2C2) is used to illustrate the approach. © 1999 John Wiley & Sons, Inc. Syst Eng 2: 62–68, 1999

Suggested Citation

  • Alexander H. Levis & W.S. Vaughan, 1999. "Model driven experimentation," Systems Engineering, John Wiley & Sons, vol. 2(2), pages 62-68.
    • Handle: RePEc:wly:syseng:v:2:y:1999:i:2:p:62-68
    DOI: 10.1002/(SICI)1520-6858(1999)2:23.0.CO;2-O
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    References listed on IDEAS

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    1. Unknown, 1978. "System Theory Applications to Agricultural Modeling," Economics Statistics and Cooperative Services (ESCS) Reports 142836, United States Department of Agriculture, Economic Research Service.
    2. Kathleen M. Carley, 1999. "On generating hypotheses using computer simulations," Systems Engineering, John Wiley & Sons, vol. 2(2), pages 69-77.
    3. Didier M. Perdu & Alexander H. Levis, 1998. "Adaptation as a Morphing Process: A Methodology for the Design and Evaluation of Adaptive Organizational Structures," Computational and Mathematical Organization Theory, Springer, vol. 4(1), pages 5-41, March.
    4. Yuri N. Levchuk & Krishna R. Pattipati & David L. Kleinman, 1999. "Analytic model driven organizational design and experimentation in adaptive command and control," Systems Engineering, John Wiley & Sons, vol. 2(2), pages 78-107.
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    Cited by:

    1. Holly A. H. Handley & Alexander H. Levis, 2003. "Organizational architectures and mission requirements: A model to determine congruence," Systems Engineering, John Wiley & Sons, vol. 6(3), pages 184-194.
    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.

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