Causal and Predictive Learning Based on Normative Contextualization: The Relevance Relativization Model

Abstract

We present a model aimed at accounting for learning of predictive and causal relationships involving stimulus compounds, by means of a mechanism based on a normative-methodological analysis of causality that goes beyond the traditional associative/rule-based controversy. According to the model, causal learning is attained by computing the validity of each… (More)

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