?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Developmental+Learning%3A+A+Case+Study+in+Understanding+%E2%80%9CObject+Permanence%E2%80%9D&rft.creator=Chen%2C+Yi&rft.creator=Weng%2C+Juyang&rft.subject=Machine+Learning&rft.subject=Artificial+Intelligence&rft.subject=Robotics&rft.description=The+concepts+of+muddy+environment+and+muddy+tasks+set+the+ground+for+us+to+understand+the+essence+of+intelligence%2C+both+artificial+and+natural%2C+which+further+motivates+the+need+of+Developmental+Learning+for+machines.+In+this+paper%2C+a+biologically+inspired+computational+model+is+proposed+to+study+one+of+the+fundamental+and+controversial+issues+in+cognitive+science+%E2%80%93+%E2%80%9CObject+Permanence.%E2%80%9D+This+model+is+implemented+on+a+robot%2C+which+enables+us+to+examine+the+robot%E2%80%99s+behavior+based+on+perceptual+development+through+realtime+experiences.+Our+experimental+result+shows+consistency+with+prior+researches+on+human+infants%2C+which+not+only+sheds+light+on+the+highly+controversial+issue+of+object+permanence%2C+but+also+demonstrates+how+biologically+inspired+developmental+models+can+potentially+develop+intelligent+machines+and+verify+computationalmodeling+that+has+been+established+in+cognitive+science.&rft.publisher=Lund+University+Cognitive+Studies&rft.contributor=Berthouze%2C+Luc&rft.contributor=Kozima%2C+Hideki&rft.contributor=Prince%2C+Christopher+G.&rft.contributor=Sandini%2C+Giulio&rft.contributor=Stojanov%2C+Georgi&rft.contributor=Metta%2C+Giorgio&rft.contributor=Balkenius%2C+Christian&rft.date=2004&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F4057%2F1%2Fchen.pdf&rft.identifier=++Chen%2C+Yi+and+Weng%2C+Juyang++(2004)+Developmental+Learning%3A+A+Case+Study+in+Understanding+%E2%80%9CObject+Permanence%E2%80%9D.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F4057%2F