Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
https://doi.org/10.21256/zhaw-25986| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Keine Angabe |
| Titel: | Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models |
| Autor/-in: | Füchslin, Rudolf Marcel Krütli, Pius Ott, Thomas Scheidegger, Stephan Schneider, Johannes Josef Seric, Marko Smieszek, Timo Weyland, Mathias S. |
| et. al: | No |
| DOI: | 10.1162/isal_a_00504 10.21256/zhaw-25986 |
| Tagungsband: | ALIFE 2022: The 2022 Conference on Artificial Life |
| Seite(n): | 75 |
| Angaben zur Konferenz: | International Conference on Artificial Life (ALIFE), online, 18-22 July 2022 |
| Erscheinungsdatum: | 2022 |
| Verlag / Hrsg. Institution: | MIT Press |
| Verlag / Hrsg. Institution: | Cambridge |
| Sprache: | Englisch |
| Fachgebiet (DDC): | 579: Mikrobiologie |
| Zusammenfassung: | Spatial resolution is relevant for many processes in population dynamics because it may give rise to heterogeneity. Simulating the effect of space in two or three dimensions is computationally costly. Furthermore, in Euclidean space, the notion of heterogeneity is complemented by neighbourhood correlations. In this paper, we use an infinite-dimensional simplex as a minimal model of space in which heterogeneity is realized, but neighbourhood is trivial and study the coexistence of viral traits in a SIRS - model. As a function of the migration parameter, multiple regimes are observed. We further discuss the relevance of minimal models for decision support. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/25986 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | Life Sciences und Facility Management School of Engineering |
| Organisationseinheit: | Institut für Angewandte Mathematik und Physik (IAMP) Institut für Computational Life Sciences (ICLS) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2022_Fuechslin-etal_Minimal-models-population-dynamics_ALIFE.pdf | 330.47 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Füchslin, R. M., Krütli, P., Ott, T., Scheidegger, S., Schneider, J. J., Seric, M., Smieszek, T., & Weyland, M. S. (2022). Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models [Conference paper]. ALIFE 2022: The 2022 Conference on Artificial Life, 75. https://doi.org/10.1162/isal_a_00504
Füchslin, R.M. et al. (2022) ‘Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models’, in ALIFE 2022: The 2022 Conference on Artificial Life. Cambridge: MIT Press, p. 75. Available at: https://doi.org/10.1162/isal_a_00504.
R. M. Füchslin et al., “Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models,” in ALIFE 2022: The 2022 Conference on Artificial Life, 2022, p. 75. doi: 10.1162/isal_a_00504.
FÜCHSLIN, Rudolf Marcel, Pius KRÜTLI, Thomas OTT, Stephan SCHEIDEGGER, Johannes Josef SCHNEIDER, Marko SERIC, Timo SMIESZEK und Mathias S. WEYLAND, 2022. Minimal models for spatially resolved population dynamics : applications to coexistence in multi – trait models. In: ALIFE 2022: The 2022 Conference on Artificial Life. Conference paper. Cambridge: MIT Press. 2022. S. 75
Füchslin, Rudolf Marcel, Pius Krütli, Thomas Ott, Stephan Scheidegger, Johannes Josef Schneider, Marko Seric, Timo Smieszek, and Mathias S. Weyland. 2022. “Minimal Models for Spatially Resolved Population Dynamics : Applications to Coexistence in Multi – Trait Models.” Conference paper. In ALIFE 2022: The 2022 Conference on Artificial Life, 75. Cambridge: MIT Press. https://doi.org/10.1162/isal_a_00504.
Füchslin, Rudolf Marcel, et al. “Minimal Models for Spatially Resolved Population Dynamics : Applications to Coexistence in Multi – Trait Models.” ALIFE 2022: The 2022 Conference on Artificial Life, MIT Press, 2022, p. 75, https://doi.org/10.1162/isal_a_00504.
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt, soweit nicht anderweitig angezeigt.