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March 3, 2026Nature Computational Science8 citations

The evolution of digital twins from reactive to agentic systems

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OSOmer SanKnoxville CollegeARAdil RasheedNorwegian University of Science and TechnologyEBEda BozdemirYale University

Key Points

  • Agentic systems enhance decision-making through autonomous functions and predictive analytics.
  • A shift from traditional reactive systems to proactive agentic systems fosters efficiency and adaptability.
  • Analysis of the evolution highlights how digital twins utilize simulation models for real-time insights.
  • Indicating the potential for digital twins to reshape industries, there is a focus on their expanding functionalities.
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Cite This Study

San et al. (2026) studied this question.

synapsesocial.com/papers/69a75de2c6e9836116a282a6https://doi.org/10.1038/s43588-025-00944-0
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