A Second Look at the Logic of Explanatory Power (with Two Novel Representation Theorems)

Philosophy of Science 79 (3):365-385 (2012)
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Abstract

We discuss the probabilistic analysis of explanatory power and prove a representation theorem for posterior ratio measures recently advocated by Schupbach and Sprenger. We then prove a representation theorem for an alternative class of measures that rely on the notion of relative probability distance. We end up endorsing the latter, as relative distance measures share the properties of posterior ratio measures that are genuinely appealing, while overcoming a feature that we consider undesirable. They also yield a telling result concerning formal accounts of explanatory power versus inductive confirmation, thereby bridging our discussion to a so-called no-miracle argument.

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Author Profiles

Vincenzo Crupi
Università degli Studi di Torino

Citations of this work

Bayesian Philosophy of Science.Jan Sprenger & Stephan Hartmann - 2019 - Oxford and New York: Oxford University Press.
Robustness Analysis as Explanatory Reasoning.Jonah N. Schupbach - 2018 - British Journal for the Philosophy of Science 69 (1):275-300.
Inference to the Best Explanation Made Incoherent.Nevin Climenhaga - 2017 - Journal of Philosophy 114 (5):251-273.
Foundations of a Probabilistic Theory of Causal Strength.Jan Sprenger - 2018 - Philosophical Review 127 (3):371-398.
On the Evidential Import of Unification.Wayne C. Myrvold - 2017 - Philosophy of Science 84 (1):92-114.

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References found in this work

The Logic of Explanatory Power.Jonah N. Schupbach & Jan Sprenger - 2011 - Philosophy of Science 78 (1):105-127.
Confirmation, heuristics, and explanatory reasoning.Timothy McGrew - 2003 - British Journal for the Philosophy of Science 54 (4):553-567.
Degree of factual support.John G. Kemeny & Paul Oppenheim - 1952 - Philosophy of Science 19 (4):307-324.
Theoretical concepts.Raimo Tuomela - 1973 - New York,: Springer Verlag.

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