Stability and Tipping in Social Systems
One of the challenges of modeling social complex systems is the creation of adequately realistic human agents in order for realistic patterns to emerge from the simulation. In this project we are interested in incorporating psychological theories into the formulation of more socially realistic agent-based models, e.g., for studying the emergence of exclusionary attitudes and opinion polarization in liberal democracies.
To better understand these complex systems, we consider their stability and tipping behaviour, where tipping refers to the systems’ drastic transition from one rather stable regime to another stable regime possibly due to an external forcing. Our specific interest then lies in the study of changes in the stability of a system under perturbations and the analysis of internal and external variables that render a social complex system more resilient to tipping, but also the analysis of the possible tipping paths and how the likelihood of a tipping event can be influenced.
Publikationen
2022 |
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Luzie Helfmann | Non-stationary Transition Path Theory with applications to tipping and agent-based models | Doctoral thesis, Freie Universität Berlin, Christof Schütte (Advisor), 2022 |
BibTeX
DOI |
2021 |
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Luzie Helfmann, Jobst Heitzig, Péter Koltai, Jürgen Kurths, Christof Schütte | Statistical analysis of tipping pathways in agent-based models | Eur. Phys. J. Spec. Top., Vol.230, pp. 3249-3271, 2021 |
BibTeX
arXiv DOI |
Philippe Miron, Francisco Beron-Vera, Luzie Helfmann, Péter Koltai | Transition paths of marine debris and the stability of the garbage patches | Chaos: An Interdisciplinary Journal of Nonlinear Science, 31(3), 2021 |
BibTeX
arXiv DOI |
2020 |
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Luzie Helfmann, Enric Ribera Borrell, Christof Schütte, Peter Koltai | Extending Transition Path Theory: Periodically Driven and Finite-Time Dynamics | Journal of Nonlinear Science, Vol.30, pp. 3321-3366, 2020 |
BibTeX
DOI |