Intentional control based on familiarity in artificial grammar learning

It is commonly held that implicit learning is based largely on familiarity. It is also commonly held that familiarity is not affected by intentions. It follows that people should not be able to use familiarity to distinguish strings from two different implicitly learned grammars. In two experiments,...

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Published inConsciousness and cognition Vol. 17; no. 4; pp. 1209 - 1218
Main Authors Wan, Lulu, Dienes, Zoltán, Fu, Xiaolan
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Inc 01.12.2008
Elsevier
Elsevier BV
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ISSN1053-8100
1090-2376
1090-2376
DOI10.1016/j.concog.2008.06.007

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Summary:It is commonly held that implicit learning is based largely on familiarity. It is also commonly held that familiarity is not affected by intentions. It follows that people should not be able to use familiarity to distinguish strings from two different implicitly learned grammars. In two experiments, subjects were trained on two grammars and then asked to endorse strings from only one of the grammars. Subjects also rated how familiar each string felt and reported whether or not they used familiarity to make their grammaticality judgment. We found subjects could endorse the strings of just one grammar and ignore the strings from the other. Importantly, when subjects said they were using familiarity, the rated familiarity for test strings consistent with their chosen grammar was greater than that for strings from the other grammar. Familiarity, subjectively defined, is sensitive to intentions and can play a key role in strategic control.
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ISSN:1053-8100
1090-2376
1090-2376
DOI:10.1016/j.concog.2008.06.007