EF4 – Particles and Agents



Learning reduced models for large-scale mobility ABMs

Project Heads

Carlo Jaeger, Stefan Klus, Christof Schütte, Sarah Wolf

Project Members

Jan-Hendrik Niemann (ZIB) 

Project Duration

01.01.2019 – 31.12.2021

Located at



Agent-based models describing the socio-economic behavior of entire populations are inherently high-dimensional. The main question we will address is whether it is possible to learn significantly reduced dynamical systems from simulation data.

Project Webpages

Selected Publications

  • S. Klus, F. Nüske, S. Peitz, J.-H. Niemann, C. Clementi, and C. Schütte. Data-driven approximation of the Koopman generator: Model reduction, system identification, and control. Physica D: Nonlinear Phenomena, 406:132416, 2020. (Physica D)
  • S. Winkelmann, J.-H. Niemann, S. Wolf, and C. Schütte. Agent-based modeling: Population limits, metastability and large deviations. Preprint, 2020. (ZIB)

Selected Pictures

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