A. Redish et al. (2007) proposed a reinforcement learning model of context-dependent learning and extinction in conditioning experiments, using the idea of "state classification" to categorize new observations into states. In the current article, the authors propose an interpretation of this idea in terms of normative statistical inference. They…

A theory of classical conditioning is presented, which is based on a parallel, rule-based performance system integrated with mechanisms for inductive learning. A major inferential heuristic incorporated into the theory involves "unusualness," which is focused on novel cues. The theory is implemented via computer simulation. (TJH)