ABSTRACT
This chapter provides a methodology and architectural framework for creating game-based simulations for training and assessment. Such simulations need to be architected for affordable, rapid implementation, and straightforward extension. Affordability implies use of off-the-shelf or well-supported open source components, inexpensive testing, and exploitation of platform-based architecture to reduce integration risks. Rapid implementation implies rapid testing and component reuse. Straightforward extension implies a system with standard interfaces, architected for extensibility, and assured interoperability. Recent advances in digital engineering, and more specifically digital twin technology, offer a promising new capability for realizing these objectives. A digital twin is a computer-based replica (i.e., a virtual model) of a particular physical system that incorporates data associated with the physical system in its virtual model (Araya, 2020; Mussomeli et al., 2020; Quatromoni, 2020). Digital twins can be employed in a training and assessment game to represent physical equipment, systems, and trainees.
