Digital twins are already widely used in industry and represent state of the art technology [1-4], yet their full potential remains largely untapped. A more recent development in the field is that of intelligent digital twins (IDTs) [5], which are capable of performing tasks independently and making situational decisions. In [5], an intelligent digital twin is defined by its synchronization with a real-world object, active data acquisition from the physical environment and the ability to simulate behavior. A broader definition is provided in [6], where an intelligent digital twin is …
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