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Interaction patterns between Artificial Intelligence and Digital Twins in the industrial domain
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DOI：10.1016/j.infsof.2026.108227.png)
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Abstract
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The adoption of Artificial Intelligence (AI) in industrial production systems has raised significant expectations for increased efficiency and innovation. Nevertheless, challenges such as the distributed nature of industrial operations, the heterogeneity of physical devices, and the complexity of real-world processes continue to hinder AI integration. Digital Twins (DTs) have emerged as a promising abstraction to decouple physical complexity from digital representations, facilitating more effective system management.
Keywords:
Digital Twins
Smart manufacturing
Cyber-physical systems
Artificial Intelligence
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