Implicit learning of conjunctive rule sets: An alternative to artificial grammars

G.J. Neil, P.A. Higham

Research output: Contribution to journalArticle

Abstract

A single experiment is reported that investigated implicit learning using a conjunctive rule set applied to natural words. Participants memorized a training list consisting of words that were either rare-concrete and common-abstract or common-concrete and rare-abstract. At test, they were told of the rule set, but not told what it was. Instead, they were shown all four word types and asked to classify words as rule-consistent words or not. Participants classified the items above chance, but were unable to verbalize the rules, even when shown a list that included the categories that made up the conjunctive rule and asked to select them. Most participants identified familiarity as the reason for classifying the items as they did. An analysis of the materials demonstrated that conscious micro rules (i.e., chunk knowledge) could not have driven performance. We propose that such materials offer an alternative to artificial grammar for studies of implicit learning.
Original languageEnglish
Pages (from-to)1393-1400
Number of pages8
JournalConsciousness and Cognition
Volume21
Issue number3
Publication statusPublished - 2012

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Implicit learning of conjunctive rule sets: An alternative to artificial grammars. / Neil, G.J.; Higham, P.A.

In: Consciousness and Cognition, Vol. 21, No. 3, 2012, p. 1393-1400.

Research output: Contribution to journalArticle

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