Philosophy of Science 78 (5):813-829 (2011)
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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References found in this work BETA
The Logic of Explanatory Power.Jonah N. Schupbach & Jan Sprenger - 2011 - Philosophy of Science 78 (1):105-127.
Comparison of Confirmation Measures.Katya Tentori, Vincenzo Crupi, Nicolao Bonini & Daniel Osherson - 2007 - Cognition 103 (1):107-119.
Van Fraassen's Critique of Inference to the Best Explanation.S. Okasha - 2000 - Studies in History and Philosophy of Science Part A 31 (4):691-710.
Conservatism in a Simple Probability Inference Task.Lawrence D. Phillips & Ward Edwards - 1966 - Journal of Experimental Psychology 72 (3):346.
The Weight of Competence Under a Realistic Loss Function.Stephan Hartmann & Jan Sprenger - 2010 - Logic Journal of the IGPL 18 (2):346-352.
Citations of this work BETA
Inference to the Best Explanation Made Incoherent.Nevin Climenhaga - forthcoming - Journal of Philosophy.
Robustness Analysis as Explanatory Reasoning.Jonah N. Schupbach - forthcoming - British Journal for the Philosophy of Science:axw008.
The Role of Explanatory Considerations in Updating.Igor Douven & Jonah N. Schupbach - 2015 - Cognition 142:299-311.
Probability and the Explanatory Virtues.Clark Glymour - 2015 - British Journal for the Philosophy of Science 66 (3):591-604.
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