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

2018/01/16 by Carl F. Craver, David M. Kaplan · 12 citations
Arts and Humanities · Biochemistry, Genetics and Molecular Biology · Environmental Science · #Philosophy and History of Science #Biomedical Text Mining and Ontologies #Science and Climate Studies

paper · doi:10.1093/bjps/axy015

Abstract

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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