Task-oriented machine learning surrogates for tipping points of agent-based models
Gianluca Fabiani,
Nikolaos Evangelou,
Tianqi Cui
et al.
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 numerical analysis of their emergent dynamics. The specific tasks of interest here include the detection of tipping points, and the uncertainty quantification of rare events near them. Our illustrative examples are an event-driven… Show more
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