Philosophy of Science 78 (5):813-829 (2011)

Authors
Jonah N. Schupbach
University of Utah
Abstract
Recently, in attempting to account for explanatory reasoning in probabilistic terms, Bayesians have proposed several measures of the degree to which a hypothesis explains a given set of facts. These candidate measures of "explanatory power" are shown to have interesting normative interpretations and consequences. What has not yet been investigated, however, is whether any of these measures are also descriptive of people’s actual explanatory judgments. Here, I present my own experimental work investigating this question. I argue that one measure in particular is an accurate descriptor of explanatory judgments. Then, I discuss some interesting implications of this result for both the epistemology and the psychology of explanatory reasoning.
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DOI 10.1086/662278
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References found in this work BETA

Inference to the Best Explanation.Peter Lipton - 1993 - Routledge/Taylor and Francis Group.
Inference to the Best Explanation.Peter Lipton - 2007 - Philosophy and Phenomenological Research 74 (2):421-423.
The Logic of Scientific Discovery.K. Popper - 1959 - British Journal for the Philosophy of Science 10 (37):55-57.
The Logic of Scientific Discovery.Karl R. Popper - 1959 - Les Etudes Philosophiques 14 (3):383-383.
The Logic of Explanatory Power.Jonah N. Schupbach & Jan Sprenger - 2011 - Philosophy of Science 78 (1):105-127.

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Citations of this work BETA

Abduction.Igor Douven - 2011 - Stanford Encyclopedia of Philosophy.
The Logic of Explanatory Power.Jonah N. Schupbach & Jan Sprenger - 2011 - Philosophy of Science 78 (1):105-127.
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.

View all 22 citations / Add more citations

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