The Logic of Explanatory Power

Philosophy of Science 78 (1):105-127 (2011)
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Abstract

This article introduces and defends a probabilistic measure of the explanatory power that a particular explanans has over its explanandum. To this end, we propose several intuitive, formal conditions of adequacy for an account of explanatory power. Then, we show that these conditions are uniquely satisfied by one particular probabilistic function. We proceed to strengthen the case for this measure of explanatory power by proving several theorems, all of which show that this measure neatly corresponds to our explanatory intuitions. Finally, we briefly describe some promising future projects inspired by our account.

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Author Profiles

Jonah N. Schupbach
University of Utah
Jan Sprenger
University of Turin

Citations of this work

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.
Experimental Explication.Jonah N. Schupbach - 2017 - Philosophy and Phenomenological Research 94 (3):672-710.
Anti-reductionist Interventionism.Reuben Stern & Benjamin Eva - 2023 - British Journal for the Philosophy of Science 74 (1):241-267.
The a priority of abduction.Stephen Biggs & Jessica M. Wilson - 2017 - Philosophical Studies 174 (3):735-758.

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References found in this work

Logical foundations of probability.Rudolf Carnap - 1950 - Chicago]: Chicago University of Chicago Press.
Inference to the Best Explanation.Peter Lipton - 1991 - London and New York: Routledge/Taylor and Francis Group.
Thinking about mechanisms.Peter Machamer, Lindley Darden & Carl F. Craver - 2000 - Philosophy of Science 67 (1):1-25.
The Logic of Scientific Discovery.Karl Popper - 1959 - Studia Logica 9:262-265.

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