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Implicit and explicit learning in ACT-R

By Christian Lebiere, Dieter Wallach and Niels Taatgen

Abstract

A useful way to explain the notions of implicit and explicit learning in ACT-R is to define implicit learning as learning by ACT-R's learning mechanisms, and explicit learning as the results of learning goals. This idea complies with the usual notion of implicit learning as unconscious and always active and explicit learning as intentional and conscious. Two models will be discussed to illustrate this point. First a model of a classical implicit memory task, the SUGARFACTORY scenario by Berry & Broadbent (1984) will be discussed, to show how ACT-R can model implicit learning. The second model is of the so-called Fincham task (Anderson & Fincham, 1994), and exhibits both implicit and explicit learning

Topics: Applied Cognitive Psychology, Cognitive Psychology, Artificial Intelligence, Machine Learning, Developmental Psychology
Publisher: Nottingham University Press, Nottingham
Year: 1998
OAI identifier: oai:cogprints.org:689
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