6533b872fe1ef96bd12d3081

RESEARCH PRODUCT

Implicit learning

P. Perruchet

subject

Computer sciencemedia_common.quotation_subjectcomputer.software_genre050105 experimental psychology03 medical and health sciences[SCCO]Cognitive science0302 clinical medicine0501 psychology and cognitive sciencesInstance-based learningmedia_commonCognitive scienceGrammarbusiness.industryAlgorithmic learning theoryInterpretation (philosophy)05 social sciencesPsychological nativism[SCCO] Cognitive scienceImplicit learningAssociative learningArtificial intelligenceSequence learningbusinesscomputer030217 neurology & neurosurgeryNatural language processing

description

International audience; All of us have learned much about language, music, physical or social environment, and other complex domains, out of any intentional attempts to acquire information. This chapter describes first how studies investigating this form of learning in laboratory situations have shifted from a rule-based interpretation to interpretations assuming a progressive tuning to the statistical regularities of the environment. The next section examines the potential of statistical learning, and whether statistical learning stems from statistical computations or chunk formation. Then the acceptations in which this form of learning may be qualified as implicit are analysed. Finally, implications for the nativist/ empiricist debate are discussed.

https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02934399