Workshop report demonstrates digital twin modeling for complex systems, highlighting expanded applications in techno-socio-economic systems.
In the dynamic landscape of technological advancements, the Digital Twin is emerging as a powerful aid with the potential to transform traditional decision-making approaches for diverse complex systems. Technically, it offers a paradigm shift in our understanding and resolution of intricate problems by effectively mirroring real-world entities. This enables us to comprehend their behaviors through simulation, anticipate anomalies for outlier environmental conditions, and derive evidence-driven solutions. While proven effective in physical and cyber-physical systems, its untapped potential lies in the realm of techno-socio-economic systems that operate in dynamic and uncertain environments.
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Barat et al. (2024) studied this question.
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