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Models, Mechanisms, and Coherence

Bibliographic Data

ID8397337
AuthorsMatteo Colombo (0000-0002-2251-2248, Tilburg University, corresponding author), Stephan Hartmann (0000-0001-8676-2177, Munich School of Philosophy), Robert van Iersel (Tilburg University)
Year2015
Volume66
Issue1
Pages181-212
Publication date2015-03-01
Open AccessNo
TypeARTICLE
VenueThe British Journal for the Philosophy of Science (JOURNAL)
Journal identifiersISSN: 0007-0882 • E-ISSN: 1464-3537
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/bjps/axt043
OpenAlexW2162628006
LanguageEN
Citations received8
References cited42

Life-science phenomena are often explained by specifying the mechanisms that bring them about. The new mechanistic philosophers have done much to substantiate this claim and to provide us with a better understanding of what mechanisms are and how they explain. Although there is disagreement among current mechanists on various issues, they share a common core position and a seeming commitment to some form of scientific realism. But is such a commitment necessary? Is it the best way to go about mechanistic explanation? In this article, we propose an alternative antirealist account that also fits explanatory practice in the life sciences. We pay special attention to mechanistic models, i.e. scientific models that involve a mechanism, and to the role of coherence considerations in building such models. To illustrate our points, we consider the mechanism for the action potential. 1 Introduction 2 Some Core Features of Mechanistic Explanation 3 Scientific Realism and Mechanistic Explanation 4 Antirealist Mechanistic Explanation: The Case of the Action Potential 5 Some Outstanding Issues for the Antirealist Mechanist 6 Two Problems for the Realist Mechanist 7 Conclusions

Action (physics) · Coherence (philosophical gambling strategy) · Core (optical fiber) · Epistemology · Mechanism (biology) · Philosophy of science · Physics · Realism · Scientific realism · Computer Science · Mathematics · Philosophy · Philosophy and History of Science

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Citations per year0.8
Citation span2016 - 2026 (11)
Highly citedNo

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