The Evolution of Digital Twins from Reactive to Agentic Systems
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911716796792832 |
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| author | San, Omer Rasheed, Adil Bozdemir, Eda Deng, Jun |
| author_facet | San, Omer Rasheed, Adil Bozdemir, Eda Deng, Jun |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_26066 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The Evolution of Digital Twins from Reactive to Agentic Systems San, Omer Rasheed, Adil Bozdemir, Eda Deng, Jun Computational Engineering, Finance, and Science Emerging Technologies 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. |
| title | The Evolution of Digital Twins from Reactive to Agentic Systems |
| topic | Computational Engineering, Finance, and Science Emerging Technologies |
| url | https://arxiv.org/abs/2605.26066 |