?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Looking+for+a+suitable+strategy+for+each+problem+-+Multiple+tasks+approach+to+navigation+learning+task&rft.creator=Ogawa%2C+Akitoshi&rft.creator=Omori%2C+Takashi&rft.subject=Machine+Learning&rft.subject=Artificial+Intelligence&rft.subject=Robotics&rft.description=We+suppose+the+functional+parts+combination+(FPC)+model%2C+whereby+a+problem+solving+strategy+is+acquired+depending+on+the+tasks+given.+The+model+is+based+on+the+neuroscientific+fact+that+each+cerebral+cortical+area+has+a+different+role+and+is+selectively+activated+depending+on+the+task.+FPC+model+is+a+meta+learning+model+that+consists+of+a+set+of+functional+parts+and+a+sequence+of+control+signals+that+specifies+their+combination.+The+functional+parts+are+combined+depending+on+the+situation%2C+to+realize+a+processing+circuit+required+for+the+situation.+We+use+genetic+algorithm+for+searching+the+control+signals.+We+examine+the+model+by+evaluating+the+difference+in+acquired+behavior+of+(1)+two+agents+with+different+functional+parts+working+on+the+same+navigational+task+and+(2)+two+agents+with+the+same+functional+parts+working+on+different+tasks.+We+show+that+the+agent+using+FPC+model+acquires+learning+strategies+suitable+for+the+given+problems.&rft.publisher=Lund+University+Cognitive+Studies&rft.contributor=Prince%2C+Christopher+G.&rft.contributor=Demiris%2C+Yiannis&rft.contributor=Marom%2C+Yuval&rft.contributor=Kozima%2C+Hideki&rft.contributor=Balkenius%2C+Christian&rft.date=2002&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F2524%2F1%2FOgawa.pdf&rft.identifier=++Ogawa%2C+Akitoshi+and+Omori%2C+Takashi++(2002)+Looking+for+a+suitable+strategy+for+each+problem+-+Multiple+tasks+approach+to+navigation+learning+task.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F2524%2F