Active Behavior Mining for Digital Twins Extraction

Engineering adequate digital twins for Cyber-Physical Systems (CPSs) is a complex, multidimensional challenge. In 2019, the Gartner group7 listed digital twins in the top 10 strategic technology trends, next to blockchain, artificial intelligence, empowered edge, privacy and ethics, quantum computing, immersive experiences, augmented analytics, and autonomous things. Digital twins are a new entry and they start to play a role well beyond the smart manufacturing domain from which they originate: they are used to figure out supply chains8 disruptions for manufacturing, or in initiatives to cocreate digital twins for (cancer) patients.1