Modelling and simulation in complex system governance Online publication date: Mon, 21-Sep-2020
by Polinpapilinho F. Katina; Andreas Tolk; Charles B. Keating; Keith F. Joiner
International Journal of System of Systems Engineering (IJSSE), Vol. 10, No. 3, 2020
Abstract: Complex system governance (CSG) is an emerging field, representing an approach to improve system performance through purposeful design, execution, and evolution of essential metasystem functions. The aim of this study was twofold: i) to understand how modelling and simulation (M&S) can be used to enhance the emerging field of CSG; ii) to evaluate different MS&S paradigms for their compatibility with CSG. An extensive review of literature is used to define current trends in M&S. Results indicate the existence of a variety of models, methods, tools (including software) and techniques for modelling and simulating different aspects of phenomena mainly driven by tool capability and goals of the system in question. We propose a need for the development of a hybrid model grounded on three paradigms of M&S: agent-based, discrete-event, and system dynamics. Such a model is in keeping with the goals of CSG and its required capabilities amid increasing complexity.
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