Abstract
My paper investigates the methodological continuity of mechanistic explanations from early modern science to current scientific practice, focusing on their generalizations in physics and beyond. Mechanistic explanations in early modern science draw on the analogy between processes in nature and the ways in which machines work, and this analogy has remained effective up to the present day. Today’s machines rely on the advanced sciences ranging from quantum physics to computer science, just as the current generalizations of mechanistic explanations do. I will show how these generalizations fit in with a general mechanistic methodology of the “dissecting” sciences, from its origins in early modern science (in particular, Newton’s analytic-synthetic method), to the constituent models of matter based on quantum theory, and the top-down and bottom-up approaches of the follower sciences of physics, such as current neuroscience. All these approaches have in common that they explain higher-level phenomena in terms of lower-level components and causes. I will discuss them under methodological and ontological aspects, compare some examples from current physical practice with the recent discussion on the “new mechanical philosophy”, and sketch the scope and the limitations of a generalized mechanistic methodology.
We have to change our mechanistic view from the crude atomism that recognizes only the motions of material particles in the void to a conception that admits such nonmaterial entities as fields, but for all of that, it is still a mechanistic world view. Materialism is untenable, but the mechanical philosophy, I believe, remains viable.
(Salmon 1984, 241)
I would like to thank Stuart Glennan for helpful comments and Joshua Rosaler for language corrections.
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Notes
- 1.
To discuss the position of scientific realism adopted here is beyond the scope of this paper. However, the ontological reduction associated with mechanistic explanations has certain limitations (see Sect. 5.5).
- 2.
Both definitions fall short of a general concept of causality, as shown by the everyday example of causation by omission (Dowe 2008). However, Salmon’s approach is concerned with scientific explanations. It deals with natural causal processes, not with everyday explanations of human actions.
- 3.
Glennan considers his approach to be more adequate than Salmon’s. In my view, they just concern two different kinds of mechanisms, namely multi-level versus one-level mechanisms. Current scientific practice employs both; see my examples discussed in Sect. 5.4. – Schiemann (2019) points out another difference neglected here, namely that of ontological monism vs. dualism. Salmon’s analysis of causal mechanisms in terms of the transmission of conserved quantities between events is dualistic.
- 4.
Even the book from which I adopted their name here (Schurz 2014, 35-36) sketches their significance only in a very short paragraph.
- 5.
For more details concerning the method, its origins, and its transformations in early modern science, see Beaney 2015.
- 6.
For its relation to Newton’s methodology of the Principia, as depicted in the famous Rules of Reasoning ((Newton [1713] 1999, 795 pp.), see Falkenburg 2017.
- 7.
I leave the question of fundamentality aside here, focusing on the marks of a good mechanistic explanation.
- 8.
- 9.
From a philosophical point of view, the expressions “causal parts” and “dynamic properties” are unclear. Current philosophy spells dynamic properties out in terms of dispositions, whereas the concepts of causality range from current successors of Hume’s regularity theory over variants of Salmon’s physics-based approach to Woodward’s interventionist account, not to speak of Kant’s a priori. Here, I leave the philosophical discussions on dispositions and causality aside.
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Falkenburg, B. (2019). Mechanistic Explanations Generalized: How Far Can We Go?. In: Falkenburg, B., Schiemann, G. (eds) Mechanistic Explanations in Physics and Beyond. European Studies in Philosophy of Science, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-030-10707-9_5
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