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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
) solvers are a key element in simulating dynamics, but their execution times, even on supercomputers, make them difficult to deploy for digital twins subject to strong reactivity constraints. Meta-models
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integrated with optimization algorithms to support faster, more robust, and more adaptive decision making. The project addresses research questions like: How can learning-based models be integrated with
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computational constraints. Rather than automating predefined pipelines, the agents act as meta-decision-makers, reasoning about modelling assumptions, approximation levels, and the choice of risk measures
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