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Modeling complex systems of systems with Phantom System Models

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  • Yacov Y. Haimes

Abstract

Complex systems are commonly composed of interconnected and inter‐ and intradependent subsystems, which in their essence constitute systems of systems with multiple functions, operations, and stakeholders. Phantom System Models (PSM) is a modeling methodology inspired by philosophical and conceptual thinking from the arts, and is driven and supported by systems engineering theory, methodology, and practice. The PSM is designed to model inter‐ and intradependencies between and among the subsystems of a complex system of systems by exploiting vital knowledge and information embedded in the intrinsic and extrinsic common and uncommon state variables among the subsystems. Among the several systems engineering theories and methodologies, the PSM in particular builds on the centrality of the states of the system in modeling and in risk analysis; fundamentals in system identification (the inverse problem); hierarchical holographic modeling; coordinated hierarchical Bayesian model; and hierarchical decomposition and higher‐level coordination. An example problem of a PSM‐based modeling of a prototype system of systems is presented. © 2012 Wiley Periodicals, Inc. Syst Eng

Suggested Citation

  • Yacov Y. Haimes, 2012. "Modeling complex systems of systems with Phantom System Models," Systems Engineering, John Wiley & Sons, vol. 15(3), pages 333-346, September.
    • Handle: RePEc:wly:syseng:v:15:y:2012:i:3:p:333-346
    DOI: 10.1002/sys.21205
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    1. Yan, Zhenyu & Haimes, Yacov Y., 2010. "Cross-classified hierarchical Bayesian models for risk-based analysis of complex systems under sparse data," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 764-776.
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    Cited by:

    1. Nil Kilicay‐Ergin & Cihan Dagli, 2015. "Incentive‐Based Negotiation Model for System of Systems Acquisition," Systems Engineering, John Wiley & Sons, vol. 18(3), pages 310-321, May.
    2. Yacov Y. Haimes & Clyde C. Chittister, 2012. "Risk to cyberinfrastructure systems served by cloud computing technology as systems of systems," Systems Engineering, John Wiley & Sons, vol. 15(2), pages 213-224, June.
    3. Bernard Collins & Steven Doskey & James Moreland, 2017. "Modeling the Convergence of Collaborative Systems of Systems: A Quantitative Case Study," Systems Engineering, John Wiley & Sons, vol. 20(4), pages 357-378, July.

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