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  -

<script src='https://archive-bar.soton.ac.uk/archive-bar.js'></script>
<script src='https://archive-bar.soton.ac.uk/google-analytics.js'></script>