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Unification, T-theoreticity, and Testing

The Case of Fitness in Natural Selection

Bibliographic Data

ID21461608
AuthorsJosé Díez (0000-0002-1082-6020, Universitat de Barcelona, corresponding author), Santiago Ginnobili (0000-0001-5375-965X, Consejo Nacional de Investigaciones Científicas y Técnicas), Pablo Lorenzano (0000-0002-6047-6313, National University of Quilmes)
Year2025
Volume90
Issue7
Pages2995-3015
Publication date2025-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueErkenntnis (JOURNAL)
Journal identifiersISSN: 0165-0106 • E-ISSN: 1572-8420
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s10670-024-00826-3
OpenAlexW4401345807
LanguageEN
References cited36

Theoreticity and unification are two main issues discussed in philosophy of science. The first attempts to clarify the different roles of concepts used in a scientific theory. The second concerns the role of unification in scientific explanation and scientific progress. Both discussions have followed separate, independent paths. In this paper, we examine the interrelatedness of these two notions by focusing on classical particle mechanics and the theory of natural selection. We claim that they are interconnected in two distinct ways. On the one hand, a theory’s unifying power relies on the presence of some theoretical concepts that apply to heterogeneous phenomena through the assumption of a (sometimes unstated) general principle. On the other hand, a sensible application of the theoreticity criterion to these integrating concepts requires the unification not being spurious. We conclude that a correct determination of the theoreticty status requires analyzing how specific applications of different parts of a theory interact with each other

Epistemology · Natural science · Natural selection · Ontology · Philosophy of science · Physics · Scientific theory · Spurious relationship · Theoretical physics · Unification · Computer Science · Ecosystem dynamics and resilience · Evolutionary Game Theory and Cooperation · Philosophy · Philosophy and History of Science · Artificial Intelligence

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Highly citedNo

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