Task-oriented machine learning surrogates for tipping points of agent-based models

Abstract We present a machine learning framework bridging manifold learning, neural networks, Gaussian processes, and Equation-Free multiscale approach, for the construction of different types of effective reduced order models from detailed agent-based simulators and the systematic multiscale numeri...

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Hlavní autoři:	Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Cristina P. Martin-Linares, Constantinos Siettos, Ioannis G. Kevrekidis
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2024-05-01
Edice:	Nature Communications
On-line přístup:	https://doi.org/10.1038/s41467-024-48024-7
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