Cargando…
Data-driven model reduction of agent-based systems using the Koopman generator
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-consum...
Autores principales: | Niemann, Jan-Hendrik, Klus, Stefan, Schütte, Christof |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8118339/ https://www.ncbi.nlm.nih.gov/pubmed/33984008 http://dx.doi.org/10.1371/journal.pone.0250970 |
Ejemplares similares
-
Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator
por: Klus, Stefan, et al.
Publicado: (2020) -
Koopman Mode Analysis of agent-based models of logistics processes
por: Hogg, James, et al.
Publicado: (2019) -
Transition Manifolds of Complex Metastable Systems: Theory and Data-Driven Computation of Effective Dynamics
por: Bittracher, Andreas, et al.
Publicado: (2017) -
koopmans: An Open-Source Package
for Accurately and Efficiently Predicting Spectral Properties with
Koopmans Functionals
por: Linscott, Edward B., et al.
Publicado: (2023) -
An agent-based model of urban insurgence: Effect of gathering sites and Koopman mode analysis
por: Fonoberova, Maria, et al.
Publicado: (2018)