Cognitive and Federated Digital Twins
There has been a recent explosion of interest in digital twins, namely data driven virtual replicas that can provide insights about a physical system and support decision making. This project endeavours to investigate and develop architectures for Cognitive Digital Twins, namely twins of intelligent systems that can exhibit a high level of intelligence. The project:
- Develops a reference architecture and a system implementation of Intelligent Digital Twins for Intelligent Systems
- Investigates the concept of Federated
Digital Twins and explores architectures and
cooperation algorithms
People
Publications
- C. Vergara, R. Bahsoon, G. Theodoropoulos, W. Yanez and N. Tziritas, "Federated Digital Twins," 2023 IEEE/ACM 27th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Singapore, Singapore, 2023, pp. 115-116, doi: 10.1109/DS-RT58998.2023.00027
- Nan Zhang,
Rami Bahsoon, Nikos Tziritas, Georgios Theodoropoulos "Knowledge Equivalence in Digital
Twins of Intelligent Systems", submitted to ACM
TOMACS, arXiv:2204.07481
- Nan Zhang, Rami Bahsoon, Nikos Tziritas , Georgios Theodoropoulos, “Explainable Human-in-the-loop Dynamic Data-Driven Digital Twins”, DDDAS2022 Conference, MIT, USA, October 6-10, 2022, preprint arXiv:2207.09106
- N. Zhang, R. Bahsoon and G.
Theodoropoulos, "Towards Engineering Cognitive Digital Twins
with Self-Awareness," 2020 IEEE International Conference on
Systems, Man, and Cybernetics (SMC), 2020, pp. 3891-3891, DOI: 10.1109/SMC42975.2020.9283357.
