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Holonic Digital Twins for Physical AI over Networks

The paper proposes a new digital twin architecture — holonic twins — that maintain a shared spatiotemporal context to coordinate physical AI agents such as robots and vehicles. This addresses the inability of current AI systems to maintain reliable world models for long-term planning under uncertainty.

Why it matters

This shows how digital twins can underpin future physical AI systems requiring consistent real-time modeling.

Relevant to DT products

Original headline
From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical AI over Networks
Read the original: arXiv API — полнотекстовый поиск "digital twin"

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