?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=LIDA%3A+A+Working+Model+of+Cognition&rft.creator=Ramamurthy%2C+Uma&rft.creator=Baars%2C+Bernard+J.&rft.creator=S.+K.%2C+D'Mello&rft.creator=Franklin%2C+Stan&rft.subject=Cognitive+Psychology&rft.subject=Artificial+Intelligence&rft.description=In+this+paper+we+present+the+LIDA+architecture+as+a+working+model+of+cognition.+We+argue+that+such+working+models+are+broad+in+scope+and+address+real+world+problems+in+comparison+to+experimentally+based+models+which+focus+on+specific+pieces+of+cognition.+While+experimentally+based+models+are+useful%2C+we+need+a+working+model+of+cognition+that+integrates+what+we+know+from+neuroscience%2C+cognitive+science+and+AI.+The+LIDA+architecture+provides+such+a+working+model.+A+LIDA+based+cognitive+robot+or+software+agent+will+be+capable+of+multiple+learning+mechanisms.+With+artificial+feelings+and+emotions+as+primary+motivators+and+learning+facilitators%2C+such+systems+will+%E2%80%98live%E2%80%99+through+a+developmental+period+during+which+they+will+learn+in+multiple+ways+to+act+in+an+effective%2C+human-like+manner+in+complex%2C+dynamic%2C+and+unpredictable+environments.+We+discuss+the+integration+of+the+learning+mechanisms+into+the+existing+IDA+architecture+as+a+working+model+of+cognition.&rft.date=2006&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F5852%2F1%2FICCM06-UR.pdf&rft.identifier=++Ramamurthy%2C+Uma+and+Baars%2C+Bernard+J.+and+S.+K.%2C+D'Mello+and+Franklin%2C+Stan++(2006)+LIDA%3A+A+Working+Model+of+Cognition.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F5852%2F