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Implicit and explicit learning in a hybrid architecture of cognition

  • Christian Lebiere (a1) and Dieter Wallach (a2)

Abstract

We present a theoretical account of implicit and explicit learning in terms of act-r, an integrated architecture of human cognition as a computational supplement to Dienes & Perner's conceptual analysis of knowledge. Explicit learning is explained in act-r by the acquisition of new symbolic knowledge, whereas implicit learning amounts to statistically adjusting subsymbolic quantities associated with that knowledge. We discuss the common foundation of a set of models that are able to explain data gathered in several signature paradigms of implicit learning.

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Implicit and explicit learning in a hybrid architecture of cognition

  • Christian Lebiere (a1) and Dieter Wallach (a2)

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