Digital Twin-Inspired Models of Socio-Technical systems
This paper presents an enhancement to the digital twin approach that models work practices such as interactions between manned and unmanned aircraft; or across air control agencies deconflicting a busy battlespace. Our premise is that such methods can overcome limitations of current approaches that fail to properly simulate denied or disrupted environments, by capturing work practices of the socio-technical environment. We extend the digital twin construct to capture multiple entities and how they systemically interact and are interdependent. Our work is premised on the Brahms model and its underlying theory of work practice modeling of socio-technical systems, but we introduce a modern computational engine to scale this technique to broader digital twin interpretations, which can support richer Reality-Simulation-Reality cycles and more effectively support Train, Reflect, Learn and Train Again. We review the Brahms approach and how our extension of digital twin models is applied to socio-technical systems. We discuss Brahms-Lite and present an application to air combat simulation. We conclude with a discussion of how this technique can be applied more broadly to extend digital twin approaches in simulations of complex environments under nominal and denied conditions.