System-of-Systems Design Optimization Based on Coevolutionary Game

Ye, Guo-Qing; Ge, Bingfeng

doi:10.1109/icectt50890.2020.00092

Cited by 2 publications

(1 citation statement)

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“…The dichotomy of collaboration or defection (not collaborating) has led to two primary areas of study in SoSs. The first uses custom games to validate characteristics that define a collaborative SoS [15], [16]. However, the use of custom games requires more empirical validation [17].…”

Section: Collaboration By Evolutionary Gamesmentioning

confidence: 99%

Preliminary Evolutionary Network Model for Efficient Collaboration in Systems-of-Systems

Boyd

Mazzuchi

Sarkani

2022

Advances in Transdisciplinary Engineering

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Collaborative systems-of-systems (CSoSs) are defined by the Systems Engineering Body of Knowledge as groups of constituent systems that voluntarily work with each other toward a common goal. As the complexity, sociotechnical interactions, and cooperation of real systems increases, so too does our need to understand how to design and manage collaboration across disciplines. An agent-based model is developed that combines network evolution mechanisms with evolutionary game theory to simulate CSoSs. Collaboration efficiency (CE) is introduced as a metric by which collaboration may be measured and performance compared. Cost and strategy parameters of constituent systems are tested via CSoS model simulation to develop insights into best collaboration practices for CSoSs. Results suggest a reactive collaboration strategy or a reinforcement algorithm-based strategy produce the highest CE under certain conditions. Applicable to systems in sociotechnical enterprises, logistics, energy, infrastructure, and more, this research can improve the design and operation of any CSoS.

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Section: Collaboration By Evolutionary Gamesmentioning

confidence: 99%