Digital Twin: How People's Invisible Behavior Changes Plans express

Original: "Design of policy digital twins incorporating multi-level agent based modelling"
arXiv:2607.13766 · 2026-07-15 · CC BY 4.0 · 1 min
A city simulator where each resident is a dark-matter particle, their actions invisibly steering the future.

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In any city project, residents' behavior is a invisible force that determines success. One skeptical neighbor can slow down solar panel installation across an entire block: their caution triggers a rise in disorder. To predict this effect, scientists build a standard model from thousands of independent agents: each making their own decisions. The prototype of such systems was envisioned by John von Neumann, pondering self-replicating automata. But the real breakthrough is that the model captures collective behavior, much like astronomers deduce galaxies from the motion of invisible matter. A trial in a British city showed: the key to the energy transition isn't generous subsidies but the neighbor-mimicry effect. A digital twin turns the chaos of human habits into a clear plan.

The very first digital twins were used by NASA engineers to repair spacecraft without touching them.

Like in the movie 'The Matrix,' but this simulator helps build a better future rather than masking reality.

Scientists
Fritz ZwickyVera RubinRoberto D. PecceiHelen QuinnR. Brent Tully
Concepts
digital twin healthcare digital twin training agent drug design cancer drug discovery artificial intelligence data center Explainable AI transfer learning synthetic data protein design game theory digital twin quantum qubit engineering ai scientific assistant