부산대학교 도서관

Physical systems are complex, and their behaviour is typically affected by uncertainty caused by incomplete knowledge about their state and operations. The emergence of Digital Twins (DTs), i.e., virtual copies of physical systems, leverages the opportunity of supporting in-vitro diagnoses and decision-making. However, the adoption of DTs cannot neglect the trust that stakeholders have in them and in their insights. Here, we present a preliminary framework for architecting DTs where appropriate modeling notations, trust assurance, and co-evolution between DTs and physical systems are part of a holistic method aiming to guarantee that a DT conforms, in terms of configuration and behaviour, to its corresponding Physical Twin (PT).