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The Evolution of Digital Twins from Reactive to Agentic Systems

Computational Engineering, Finance, and Science 2026-05-26 v1 Emerging Technologies
Authors: Omer San , Adil Rasheed , Eda Bozdemir , Jun Deng
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Abstract

Digital twins are evolving into self-learning, autonomous systems that link models, data, and human interaction. Realizing their full potential depends on interoperability, standardization, and the integration of artificial intelligence and advanced computational reasoning across sectors.

Keywords

digital twin

Cite

@article{arxiv.2605.26066,
  title  = {The Evolution of Digital Twins from Reactive to Agentic Systems},
  author = {Omer San and Adil Rasheed and Eda Bozdemir and Jun Deng},
  journal= {arXiv preprint arXiv:2605.26066},
  year   = {2026}
}

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