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Abstract

You have heard extensively about digital twins and how they can be applied in a range of domains and for a range of different purposes. A particularly pressing problem that you are wrestling with is understanding how digital twin technology can be applied to aid in your decision-making requirements in the face of uncertainty. Do you need help in understanding how digital twins can be used? This demonstration provides you with a detailed understanding of how digital twins can serve as an important technology that subject matter experts can use to arrive at quantitative justification-backed decisions with reasonable confidence about their effectiveness when implemented in real-world context. The demonstration presents a human-in-loop automation aid and how it has been used to effectively address complex decision-making problems in socio-techno-economic space.

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Notes

  1. 1.

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References

  1. Grieves, M., Vickers, J.: Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems. In: Kahlen, J., Flumerfelt, S., Alves, A. (eds.) Transdisciplinary Perspectives on Complex Systems. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-38756-7_4

  2. Clark, T., Kulkarni, V., Barat, S., Barn, B.: ESL: an actor-based platform for developing emergent behaviour organisation simulations. In: Demazeau, Y., Davidsson, P., Bajo, J., Vale, Z. (eds.) PAAMS 2017. LNCS (LNAI), vol. 10349, pp. 311–315. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59930-4_27

    Chapter  Google Scholar 

  3. Souvik, B., et al.: Towards effective design and adaptation of CSP using modelling and simulation based digital twin approach. In: Proceedings of the 2020 Summer Simulation Conference (2020)

    Google Scholar 

  4. Souvik, B., et al.: Actor based simulation for closed loop control of supply chain using reinforcement learning. In: Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (2019)

    Google Scholar 

  5. Souvik, B., et al.: An agent-based digital twin for exploring localized non-pharmaceutical interventions to control COVID-19 pandemic. Trans. Indian Natl. Acad. Eng. 6.2, 323–353 (2021)

    Google Scholar 

  6. He, S., Peng, Y., Sun, K.: SEIR modeling of the COVID-19 and its dynamics. Nonlinear Dyn. 101(3), 1667–1680 (2020). https://doi.org/10.1007/s11071-020-05743-y

    Article  Google Scholar 

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Correspondence to Souvik Barat .

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Kulkarni, V., Barat, S., Yadav, A., Mulpuru, D., Basu, A. (2022). Digital Twin Assisted Decision Making. In: Dignum, F., Mathieu, P., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection. PAAMS 2022. Lecture Notes in Computer Science(), vol 13616. Springer, Cham. https://doi.org/10.1007/978-3-031-18192-4_43

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  • DOI: https://doi.org/10.1007/978-3-031-18192-4_43

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