Structural Selection in Implicit Learning of Artificial Grammars

Overview

Journal Psychol Res

Specialty Psychology

Date 2009 Feb 13

PMID 19212781

Citations 4

Authors

Esther van den Bos

Fenna H Poletiek

Affiliations

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Abstract

In the contextual cueing paradigm, Endo and Takeda (in Percept Psychophys 66:293-302, 2004) provided evidence that implicit learning involves selection of the aspect of a structure that is most useful to one's task. The present study attempted to replicate this finding in artificial grammar learning to investigate whether or not implicit learning commonly involves such a selection. Participants in Experiment 1 were presented with an induction task that could be facilitated by several characteristics of the exemplars. For some participants, those characteristics included a perfectly predictive feature. The results suggested that the aspect of the structure that was most useful to the induction task was selected and learned implicitly. Experiment 2 provided evidence that, although salience affected participants' awareness of the perfectly predictive feature, selection for implicit learning was mainly based on usefulness.

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