In cognitive psychology there appears to be a creative tension between models that use connections of a network, and models that use rules for symbol manipulation. The idea of a connectionist network goes back to McCulloch & Pitts  and Hebb , and finds recent revival in the `parallel distributed processing' (PDP) models that have been extensively examined in the last few years (see e.g. Rumelhart et al. ). In the intervening years, however, the predominant explanations of psychology have been in terms of rules for the manipulation of symbolic structures (e.g. since Newell & Simon ). Because of the tension between these different approaches (see e.g. Fodor & Pylyshyn ), there is great interest in the formulation of `hybrid systems' which combine connectionist components with traditional symbolic processing. I attempt below to outline the general architecture of such a hybrid system.
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