Inference, Explanation, and Asymmetry
Synthese (2018)
Abstract
Explanation is asymmetric: if A explains B, then B does not explain A. Tradition- ally, the asymmetry of explanation was thought to favor causal accounts of explanation over their rivals, such as those that take explanations to be inferences. In this paper, we develop a new inferential approach to explanation that outperforms causal approaches in accounting for the asymmetry of explanation.
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2018-04-25
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620 ( #7,397 of 56,022 )
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86 ( #7,434 of 56,022 )
2018-04-25
Total views
620 ( #7,397 of 56,022 )
Recent downloads (6 months)
86 ( #7,434 of 56,022 )
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