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...
Guardado en:
Autores principales: | Jan-Hendrik Niemann, Stefan Klus, Christof Schütte |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/56efccd71c4e41818ecbb788e28b63fe |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Analysis of the ROA of an anaerobic digestion process via data-driven Koopman operator
por: Garcia-Tenorio Camilo, et al.
Publicado: (2021) -
Is the Finite-Time Lyapunov Exponent Field a Koopman Eigenfunction?
por: Erik M. Bollt, et al.
Publicado: (2021) -
Asymmetries in utility functions and marriage decisions: A Ramsey-Koopmans approach
por: Edwards,Gonzalo
Publicado: (2018) -
Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
por: Jiarui Ding, et al.
Publicado: (2018) -
Accuracy of digital model generated from CT data with metal artifact reduction algorithm
por: Chena Lee, et al.
Publicado: (2021)