Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-14829
For citation please use:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKoutroufinis, Spyridon A.-
dc.date.accessioned2022-01-06T09:21:44Z-
dc.date.available2022-01-06T09:21:44Z-
dc.date.issued2021-12-30-
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/16055-
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-14829-
dc.description.abstractMathematical models applied in contemporary theoretical and systems biology are based on some implicit ontological assumptions about the nature of organisms. This article aims to show that real organisms reveal a logic of internal causality transcending the tacit logic of biological modeling. Systems biology has focused on models consisting of static systems of differential equations operating with fixed control parameters that are measured or fitted to experimental data. However, the structure of real organisms is a highly dynamic process, the internal causality of which can only be captured by continuously changing systems of equations. In addition, in real physiological settings kinetic parameters can vary by orders of magnitude, i.e., organisms vary the value of internal quantities that in models are represented by fixed control parameters. Both the plasticity of organisms and the state dependence of kinetic parameters adds indeterminacy to the picture and asks for a new statistical perspective. This requirement could be met by the arising Biological Statistical Mechanics project, which promises to do more justice to the nature of real organisms than contemporary modeling. This article concludes that Biological Statistical Mechanics allows for a wider range of organismic ontologies than does the tacitly followed ontology of contemporary theoretical and systems biology, which are implicitly and explicitly based on systems theory.en
dc.description.sponsorshipDFG, 414044773, Open Access Publizieren 2021 - 2022 / Technische Universität Berlinen
dc.language.isoenen
dc.rightsLicensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc100 Philosophie und Psychologiede
dc.subject.othertheory of organismen
dc.subject.othersystems biologyen
dc.subject.otherbiological modelingen
dc.subject.othertheory of dynamical systemsen
dc.subject.otherdifferential equationsen
dc.subject.othercontrol parametersen
dc.subject.otherprocess ontologyen
dc.subject.otherBiological Statistical Mechanicsen
dc.titleToward a Logic of the Organism: A Process Philosophical Considerationen
dc.typeArticleen
dc.date.updated2022-01-03T17:26:46Z-
tub.accessrights.dnbfreeen
tub.publisher.universityorinstitutionTechnische Universität Berlinen
dc.identifier.eissn1099-4300-
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.3390/e24010066en
dcterms.bibliographicCitation.journaltitleEntropyen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume24en
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.issue1en
dcterms.bibliographicCitation.articlenumber66en
tub.affiliationFak. 1 Geistes- und Bildungswissenschaften » Inst. Philosophie-, Literatur-, Wissenschafts- und Technikgeschichte » FG Theoretische Philosophiede
Appears in Collections:Technische Universität Berlin » Publications

Files in This Item:
entropy-24-00066.pdf
Format: Adobe PDF | Size: 413.34 kB
DownloadShow Preview
Thumbnail

Item Export Bar

This item is licensed under a Creative Commons License Creative Commons