?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Modeling+Human+Infant+Learning+in+Embodied+Artificial+Entities+to+Produce+Grounded+Concepts&rft.creator=Berkowitz%2C+Eric&rft.subject=Machine+Learning&rft.subject=Artificial+Intelligence&rft.subject=Robotics&rft.description=I+present+a+system+for+concept+development+in+an+artificial%0Aentity.+The+concept+development+is+designed%0Aaround+the+foundations+of+human+cognition+while+at%0Athe+same+time+remaining+grounded+in+the+agent+or%0Arobot%E2%80%99s+own+perception+of+its+world.&rft.publisher=Lund+University+Cognitive+Studies&rft.contributor=Prince%2C+Christopher+G.&rft.contributor=Berthouze%2C+Luc&rft.contributor=Kozima%2C+Hideki&rft.contributor=Bullock%2C+Daniel&rft.contributor=Stojanov%2C+Georgi&rft.contributor=Balkenius%2C+Christian&rft.date=2003&rft.type=Conference+Poster&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F3344%2F1%2FBerkowitz.pdf&rft.identifier=++Berkowitz%2C+Eric++(2003)+Modeling+Human+Infant+Learning+in+Embodied+Artificial+Entities+to+Produce+Grounded+Concepts.++%5BConference+Poster%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F3344%2F