@misc{cogprints3864,
           title = {Modeling Adaptive Learning: R\&D Strategies in the Model of Nelson \& Winter (1982)},
          author = {Murat Yildizoglu},
            year = {2001},
            note = {JEL Classification: O3, L1, D83},
        keywords = { Learning, Learning Classifier Systems, Bounded Rationality, Technical Progress, Innovation},
             url = {http://cogprints.org/3864/},
        abstract = {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.}
}

<script src="//archive-bar.soton.ac.uk/archive-bar.js"></script>