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dc.contributor.authorPrinz, Andreas
dc.contributor.authorEngebretsen, Martin
dc.contributor.authorGjøsæter, Terje
dc.contributor.authorMøller-Pedersen, Birger
dc.contributor.authorXanthopoulou, Themis Dimitra
dc.date.accessioned2023-04-13T11:44:51Z
dc.date.available2023-04-13T11:44:51Z
dc.date.created2023-04-11T12:10:56Z
dc.date.issued2023
dc.identifier.citationPrinz, A., Engebretsen, M., Gjøsæter, T., Møller-Pedersen, B. & Xanthopoulou, T. D. (2023). Models, systems, and descriptions - A cross-disciplinary reflection on models. Frontiers in Computer Science, 5, 1-19. doi:en_US
dc.identifier.issn2624-9898
dc.identifier.urihttps://hdl.handle.net/11250/3062892
dc.description.abstractThere are many different notions of models in different areas of science that are often not aligned, making it difficult to discuss them across disciplines. In this study, we look at the differences between physical models and mental models as well as the difference between static and dynamic models. Semiotics provides a philosophical underpinning by explaining meaning-making. This allows for identifying a common ground between models in different areas. We use examples from natural sciences and linguistics to illustrate different approaches and concepts and to find commonalities. This study distinguishes between systems, models, and descriptions of models. This distinction allows us to understand the commonalities of mental and physical models in different areas.en_US
dc.language.isoengen_US
dc.publisherFrontiers Media S.A.en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleModels, systems, and descriptions - A cross-disciplinary reflection on modelsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 The Author(s)en_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.source.pagenumber19en_US
dc.source.volume5en_US
dc.source.journalFrontiers in Computer Scienceen_US
dc.identifier.doi10.3389/fcomp.2023.1031807
dc.identifier.cristin2139929
cristin.qualitycode1


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