Agentic AI for Cultural Heritage: risk memory in semantic digital twins

Agentic AI for Cultural Heritage: risk memory in semantic digital twins

The open-access article “Agentic AI for Cultural Heritage: Embedding Risk Memory in Semantic Digital Twins” proposes a framework where AI agents do more than react to sensor data: they remember risk trajectories, reason over conservation policies and support explainable decision-making.

The work extends the PANOPTES/ARGUS line of research by embedding the ICCROM/CCI ABC risk model into semantic digital twins, turning monitoring infrastructure into a memory-enabled decision-support layer for preventive preservation.

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