"3864","Modeling Adaptive Learning: R&D Strategies in the Model of Nelson & Winter (1982)","This article aims to test the relevance of learning through Genetic Algorithms (GA) and Learning Classifier Systems (LCS), in opposition with fixed R&D rules, in a simplified version of the evolutionary industry model of Nelson and Winter. These three R&D strategies are compared from the points of view of industry performance (welfare): the results of simulations clearly show that learning is a source of technological and social efficiency.","http://cogprints.org/3864/","Yildizoglu, Murat","UNSPECIFIED","       <span class=\"person_name\">Yildizoglu, Murat</span>     (2001)  <a href=\"http://cogprints.org/3864/\"><em>Modeling Adaptive Learning: R&amp;D Strategies in the Model of Nelson &amp; Winter (1982).</em></a>       [Preprint]           ","yildi","2001"