Explanatory Reasoning for Inductive Confidence

Abstract

We present Explanatory Reasoning for Inductive Confidence (ERIC), a computational model of explanation generation and evaluation. ERIC combines analogical hypothesis generation and justification with normative probabilistic theory over statement confidences. It successfully captures a broad range of empirical phenomena, and represents a promising approach toward the application of explanatory knowledge in new situations.


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