Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25986
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dc.contributor.authorFüchslin, Rudolf Marcel-
dc.contributor.authorKrütli, Pius-
dc.contributor.authorOtt, Thomas-
dc.contributor.authorScheidegger, Stephan-
dc.contributor.authorSchneider, Johannes Josef-
dc.contributor.authorSeric, Marko-
dc.contributor.authorSmieszek, Timo-
dc.contributor.authorWeyland, Mathias S.-
dc.date.accessioned2022-11-10T10:31:42Z-
dc.date.available2022-11-10T10:31:42Z-
dc.date.issued2022-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/25986-
dc.description.abstractSpatial 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.de_CH
dc.language.isoende_CH
dc.publisherMIT Pressde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subject.ddc579: Mikrobiologiede_CH
dc.titleMinimal models for spatially resolved population dynamics : applications to coexistence in multi – trait modelsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
zhaw.publisher.placeCambridgede_CH
dc.identifier.doi10.1162/isal_a_00504de_CH
dc.identifier.doi10.21256/zhaw-25986-
zhaw.conference.detailsInternational Conference on Artificial Life (ALIFE), online, 18-22 July 2022de_CH
zhaw.funding.euinfo:eu-repo/grantAgreement/EC/H2020/824060//Artificial Cells with Distributed Cores to Decipher Protein Function/ACDCde_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start75de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.title.proceedingsALIFE 2022: The 2022 Conference on Artificial Lifede_CH
zhaw.webfeedBio-Inspired Methods & Neuromorphic Computingde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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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.


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