?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Biological+learning+and+artificial+intelligence&rft.creator=Balkenius%2C+Christian&rft.subject=Animal+Cognition&rft.subject=Artificial+Intelligence&rft.subject=Animal+Behavior&rft.description=It+was+once+taken+for+granted+that+learning+in+animals+and+man+could+be+explained+with+a+simple+set+of+general+learning+rules%2C+but+over+the+last+hundred+years%2C+a+substantial+amount+of+evidence+has+been+accumulated+that+points+in+a+quite+different+direction.+In+animal+learning+theory%2C+the+laws+of+learning+are+no+longer+considered+general.+Instead%2C+it+has+been+necessary+to+explain+behaviour+in+terms+of+a+large+set+of+interacting+learning+mechanisms+and+innate+behaviours.+Artificial+intelligence+is+now+on+the+edge+of+making+the+transition+from+general+theories+to+a+view+of+intelligence+that+is+based+on+anamalgamate+of+interacting+systems.+In+the+light+of+the+evidence+from+animal+learning+theory%2C+such+a+transition+is+to+be+highly+desired.&rft.date=1994&rft.type=Departmental+Technical+Report&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F3705%2F1%2FBalkenius.1994.LUCS30.pdf&rft.identifier=++Balkenius%2C+Christian++(1994)+Biological+learning+and+artificial+intelligence.++%5BDepartmental+Technical+Report%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F3705%2F