?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Modeling+Adaptive+Learning%3A+R%26D+Strategies+in+the+Model+of+Nelson+%26+Winter+(1982)&rft.creator=Yildizoglu%2C+Murat&rft.subject=Machine+Learning&rft.subject=Social+simulation&rft.description=This+article+aims+to+test+the+relevance+of+learning+through+Genetic+Algorithms+(GA)+and+Learning+Classifier+Systems+(LCS)%2C+in+opposition+with+fixed+R%26D+rules%2C+in+a+simplified+version+of+the+evolutionary+industry+model+of+Nelson+and+Winter.+These+three+R%26D+strategies+are+compared+from+the+points+of+view+of+industry+performance+(welfare)%3A+the+results+of+simulations+clearly+show+that+learning+is+a+source+of+technological+and+social+efficiency.&rft.date=2001&rft.type=Preprint&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F3864%2F1%2F2001-1.pdf&rft.identifier=++Yildizoglu%2C+Murat++(2001)+Modeling+Adaptive+Learning%3A+R%26D+Strategies+in+the+Model+of+Nelson+%26+Winter+(1982).++%5BPreprint%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F3864%2F