TY - GEN N1 - JEL Classification: O3, L1, D83 ID - cogprints3864 UR - http://cogprints.org/3864/ A1 - Yildizoglu, Murat TI - Modeling Adaptive Learning: R&D Strategies in the Model of Nelson & Winter (1982) Y1 - 2001/// N2 - 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. AV - public KW - Learning KW - Learning Classifier Systems KW - Bounded Rationality KW - Technical Progress KW - Innovation ER -