Inference, Explanation, and Asymmetry

Synthese (Suppl 4):929-953 (2018)
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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.

Author Profiles

Jared A. Millson
Rhodes College
Kareem Khalifa
University of California, Los Angeles
Mark Risjord
Emory University

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