title: Implicit and explicit knowledge bases in artificial grammar learning.
abstract: Two experiments examined the claim for distinct implicit and explicit learning modes in the artificial grammar-learning task (Reber, 1967, 1989). Subjects initially attempted to memorize strings of letters generated by a finite-state grammar and then classified new grammatical and nongrammatical strings. Experiment 1 showed that subjects' assessment of isolated parts of strings was sufficient to account for their classification performance but that the rules elicited in free report were not sufficient. Experiment 2 showed that performing a concurrent random number generation task under different priorities interfered with free report and classification performance equally. Furthermore, giving different groups of subjects incidental or intentional learning instructions did not affect classification or free report.
authors.affiliation: University of Oxford, England.
authors.forename: Z
authors.initials: Z
authors.lastname: Dienes
authors.forename: D
authors.initials: D
authors.lastname: Broadbent
authors.forename: D
authors.initials: D
authors.lastname: Berry
mesh_terms: D000328:Adult; D006801:Humans; D007858:Learning / Q000502:physiology*; D008037:Linguistics; D009483:Neuropsychological Tests; D011897:Random Allocation; D013223:Statistics as Topic; D013647:Task Performance and Analysis