Do causes need to make their effects probable in order to explain them? The tension between n1 and e5 in Craver's mechanistic model of explanation [Book Review]

Emergent Australasian Philosophers 1 (1) (2008)
  Copy   BIBTEX

Abstract

Carl Craver proposes a mechanistic model of explanation in science motivated by a desire to intervene, as exemplified by explanations in neuroscience which in his opinion are motivated by the desire to bring the central nervous system under control. In his discussion of causal relevancy conditions of mechanistic components Craver asserts that a cause need not make its effect probable in order to explain it . Although this is supported by some interpretations, Craver’s own is highlighted by his appeal to an example in neuroscience of the apparently stochastic nature of neurotransmitter release events. I propose the view that this interpretation of such a causal relevancy condition is contradictory to Craver’s own proposed first norm of explanation : that a good explanation must fully account for the explanandum phenomenon including varied manifestations of the phenomenon. By defending Craver’s explanatory motivation of intervention I demonstrate that the attributed cause of a phenomenon must necessarily make the phenomenon probable in order to effectively explain it.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,139

External links

  • This entry has no external links. Add one.
Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

When mechanistic models explain.Carl F. Craver - 2006 - Synthese 153 (3):355-376.
Plausibility versus richness in mechanistic models.Raoul Gervais & Erik Weber - 2013 - Philosophical Psychology 26 (1):139-152.
Is the best explaining theory the most probable one?Thomas Bartelborth - 2006 - Grazer Philosophische Studien 70 (1):1-23.
Mechanisms are Real and Local.Phyllis McKay Illari & Jon Williamson - 2011 - In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press.
Mechanistic explanation without the ontic conception.Cory Wright - 2012 - European Journal of Philosophy of Science 2 (3):375-394.

Analytics

Added to PP
2014-02-19

Downloads
0

6 months
0

Historical graph of downloads

Sorry, there are not enough data points to plot this chart.
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references