274 citations · 289 across the 3 of their papers we have counts for
4 papers
Koopman-Based Surrogate Models for Multi-Objective Optimization of Agent-Based Systems
Jan-Hendrik Niemann, Stefan Klus, Nataša Djurdjevac Conrad +1
Agent-based models (ABMs) provide an intuitive and powerful framework for studying social dynamics by modeling the interactions of individuals from the perspective of each individu…
Multilevel Optimization for Policy Design with Agent-Based Epidemic Models
Jan-Hendrik Niemann, Samuel Uram, Sarah Wolf +2
Epidemiological models can not only be used to forecast the course of a pandemic like COVID-19, but also to propose and design non-pharmaceutical interventions such as school and w…
Data-driven model reduction of agent-based systems using the Koopman generator
Jan-Hendrik Niemann, Stefan Klus, Christof Schütte
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 t…
Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
Stefan Klus, Feliks Nüske, Sebastian Peitz +3
We derive a data-driven method for the approximation of the Koopman generator called gEDMD, which can be regarded as a straightforward extension of EDMD (extended dynamic mode deco…