?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=A+Cognitive+Science+Based+Machine+Learning+Architecture&rft.creator=D'Mello%2C+S.K.&rft.creator=Franklin%2C+Stan&rft.creator=Ramamurthy%2C+Uma+&rft.creator=Baars%2C+Bernard+J.&rft.subject=Cognitive+Psychology&rft.subject=Artificial+Intelligence&rft.description=In+an+attempt+to+illustrate+the+application+of+cognitive+science+principles+to+hard+AI+problems+in+machine+learning+we+propose+the+LIDA+technology%2C+a+cognitive+science+based+architecture+capable+of+more+human-like+learning.+A+LIDA+based+software+agent+or+cognitive+robot+will+be+capable+of+three+fundamental%2C+continuously+active%2C+humanlike+learning+mechanisms%3A%0D%0A1)+perceptual+learning%2C+the+learning+of+new+objects%2C+categories%2C+relations%2C+etc.%2C%0D%0A2)+episodic+learning+of+events%2C+the+what%2C+where%2C+and+when%2C%0D%0A3)+procedural+learning%2C+the+learning+of+new+actions+and+action+sequences+with+which+to+accomplish+new+tasks.+The+paper+argues+for+the+use+of+modular+components%2C+each+specializing+in+implementing+individual+facets+of+human+and+animal+cognition%2C+as+a+viable+approach+towards+achieving+general+intelligence.&rft.date=2006-03&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F5853%2F1%2FSS0602DMelloS.pdf&rft.identifier=++D'Mello%2C+S.K.+and+Franklin%2C+Stan+and+Ramamurthy%2C+Uma++and+Baars%2C+Bernard+J.++(2006)+A+Cognitive+Science+Based+Machine+Learning+Architecture.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F5853%2F