# Data-driven model reduction of agent-based systems using the Koopman generator

@article{Niemann2020DatadrivenMR, title={Data-driven model reduction of agent-based systems using the Koopman generator}, author={Jan-Hendrik Niemann and Stefan Klus and Christof Sch{\"u}tte}, journal={PLoS ONE}, year={2020}, volume={16} }

The dynamical behavior of social systems can be described by agent-based models. Although single agents follow easily explainable rules, complex time-evolving patterns emerge due to their interaction. The simulation and analysis of such agent-based models, however, is often prohibitively time-consuming if the number of agents is large. In this paper, we show how Koopman operator theory can be used to derive reduced models of agent-based systems using only simulation data. Our goal is to learn…

## 4 Citations

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