title: Implicit and explicit learning in ACT-R creator: Lebiere, Christian creator: Wallach, Dieter creator: Taatgen, Niels subject: Applied Cognitive Psychology subject: Cognitive Psychology subject: Artificial Intelligence subject: Machine Learning subject: Developmental Psychology description: 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. publisher: Nottingham University Press, Nottingham contributor: Ritter, Frank contributor: Young, Richard date: 1998 type: Conference Paper type: NonPeerReviewed format: application/pdf identifier: http://cogprints.org/689/3/prepubsTCW-98-1.pdf identifier: Lebiere, Christian and Wallach, Dieter and Taatgen, Niels (1998) Implicit and explicit learning in ACT-R. [Conference Paper] relation: http://cogprints.org/689/