Article ID: CBB621951199

Are More Details Better? On the Norms of Completeness for Mechanistic Explanations (2020)

unapi

Completeness is an important but misunderstood norm of explanation. It has recently been argued that mechanistic accounts of scientific explanation are committed to the thesis that models are complete only if they describe everything about a mechanism and, as a corollary, that incomplete models are always improved by adding more details. If so, mechanistic accounts are at odds with the obvious and important role of abstraction in scientific modelling. We respond to this characterization of the mechanist’s views about abstraction and articulate norms of completeness for mechanistic explanations that have no such unwanted implications. 1 Introduction2 A Balancing Act: When Do Details Matter?3 The Norms of Causal Explanation4 The Norms of Constitutive Explanation5 Salmon-Completeness6 From More Details to More Relevant Details7 Non-explanatory Virtues of Abstraction8 From Explanatory Models to Explanatory Knowledge9 Mechanistic Completeness Reconsidered10 Conclusion

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Authors & Contributors
Glennan, Stuart
Moll, Remington J.
Nyrup, Rune
Alleva, Karina
Burnston, Daniel C.
Winning, Jason
Journals
Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences
Studies in History and Philosophy of Science
Philosophy of Science
British Journal for the Philosophy of Science
Synthese
HOPOS
Publishers
Springer
Oxford University Press
Kluwer Academic
Concepts
Explanation; hypotheses; theories
Philosophy of science
Mechanism; mechanical philosophy
Models and modeling in science
Philosophy of biology
Biology
People
Boyle, Robert
Peirce, Charles Sanders
Herschel, John Frederick William
Galton, Francis
Time Periods
17th century
21st century
19th century
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