Zobrazeno 1 - 10
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pro vyhledávání: '"Helfmann, Luzie"'
Autor:
Montefusco, Alberto, Helfmann, Luzie, Okunola, Toluwani, Winkelmann, Stefanie, Schütte, Christof
This article addresses reaction networks in which spatial and stochastic effects are of crucial importance. For such systems, particle-based models allow us to describe all microscopic details with high accuracy. However, they suffer from computation
Externí odkaz:
http://arxiv.org/abs/2307.01737
Digital communication has made the public discourse considerably more complex, and new actors and strategies have emerged as a result of this seismic shift. Aside from the often-studied interactions among individuals during opinion formation, which h
Externí odkaz:
http://arxiv.org/abs/2301.13661
Autor:
Montefusco, Alberto, Helfmann, Luzie, Okunola, Toluwani, Winkelmann, Stefanie, Schütte, Christof
Publikováno v:
In Mathematical Biosciences March 2024 369
Agent-based models are a natural choice for modeling complex social systems. In such models simple stochastic interaction rules for a large population of individuals can lead to emergent dynamics on the macroscopic scale, for instance a sudden shift
Externí odkaz:
http://arxiv.org/abs/2103.02883
Given two distinct subsets $A,B$ in the state space of some dynamical system, Transition Path Theory (TPT) was successfully used to describe the statistical behavior of transitions from $A$ to $B$ in the ergodic limit of the stationary system. We der
Externí odkaz:
http://arxiv.org/abs/2002.07474
Autor:
Helfmann, Luzie, Conrad, Natasa Djurdjevac, Djurdjevac, Ana, Winkelmann, Stefanie, Schütte, Christof
Publikováno v:
Commun. Appl. Math. Comput. Sci. 16 (2021) 1-32
Many real-world processes can naturally be modeled as systems of interacting agents. However, the long-term simulation of such agent-based models is often intractable when the system becomes too large. In this paper, starting from a stochastic spatio
Externí odkaz:
http://arxiv.org/abs/1905.13525
Quality assessments of models in unsupervised learning and clustering verification in particular have been a long-standing problem in the machine learning research. The lack of robust and universally applicable cluster validity scores often makes the
Externí odkaz:
http://arxiv.org/abs/1803.11008
Autor:
Helfmann, Luzie
The interesting dynamical regimes in agent-based models (ABMs) of social dynamics are the transient dynamics leading to metastable or absorbing states, and the transition paths between metastable states possibly caused by external influences. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1911d7b4010f91fe327c30523baa6585
https://doi.org/10.17169/refubium-35374
https://doi.org/10.17169/refubium-35374
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