?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Implicit+and+explicit+learning+in+ACT-R&rft.creator=Lebiere%2C+Christian&rft.creator=Wallach%2C+Dieter&rft.creator=Taatgen%2C+Niels&rft.subject=Applied+Cognitive+Psychology&rft.subject=Cognitive+Psychology&rft.subject=Artificial+Intelligence&rft.subject=Machine+Learning&rft.subject=Developmental+Psychology&rft.description=A+useful+way+to+explain+the+notions+of+implicit+and+explicit+learning+in+ACT-R+is+to+define+implicit+learning+as+learning+by+ACT-R's+learning+mechanisms%2C+and+explicit+learning+as+the+results+of+learning+goals.+This+idea+complies+with+the+usual+notion+of+implicit+learning+as+unconscious+and+always+active+and+explicit+learning+as+intentional+and+conscious.+Two+models+will+be+discussed+to+illustrate+this+point.+First+a+model+of+a+classical+implicit+memory+task%2C+the+SUGARFACTORY+scenario+by+Berry+%26+Broadbent+(1984)+will+be+discussed%2C+to+show+how+ACT-R+can+model+implicit+learning.+The+second+model+is+of+the+so-called+Fincham+task+(Anderson+%26+Fincham%2C+1994)%2C+and+exhibits+both+implicit+and+explicit+learning.&rft.publisher=Nottingham+University+Press%2C+Nottingham&rft.contributor=Ritter%2C+Frank&rft.contributor=Young%2C+Richard&rft.date=1998&rft.type=Conference+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F689%2F3%2FprepubsTCW-98-1.pdf&rft.identifier=++Lebiere%2C+Christian+and+Wallach%2C+Dieter+and+Taatgen%2C+Niels++(1998)+Implicit+and+explicit+learning+in+ACT-R.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F689%2F