Competing R & D Strategies in an Evolutionary Industry Model

被引:19
作者
Yildizoglu M. [1 ]
机构
[1] IFREDE-E3i, Université Montesquieu Bordeaux IV, F-33608 PESSAC, Avenue Léon Duguit
关键词
bounded rationality; genetic algorithms; industry dynamics; innovation; learning;
D O I
10.1023/A:1014945023982
中图分类号
学科分类号
摘要
This article aims to test the relevance of learning throughgenetic algorithms, in contrast to fixed R & D rules, in a simplifiedversion of the evolutionary industry model of Nelson and Winter. These two R & D strategies arecompared from the points of view of industry performance(welfare) and firms' relative performance (competitive edge):simulations results clearly show that learning is a source oftechnological and social efficiency as well as a means formarket domination. © 2002 Kluwer Academic Publishers.
引用
收藏
页码:51 / 65
页数:14
相关论文
共 15 条
[1]  
Ballot G., Taymaz E., Technological change, learning and macroeconomic coordination: An evolutionary model, Journal of Artificial Societies and Social Simulation, 2, 2, (1999)
[2]  
Brenner T., Can evolutionary algorithms describe learning process?, Journal of Evolutionary Economics, 8, pp. 271-283, (1998)
[3]  
Goldberg D.E., Genetic Algorithms, (1991)
[4]  
Holland J.H., Holyoak K.J., Thagard P.R., Induction of Inference, Learning, and Discovery, (1989)
[5]  
Jonard N., Yildizoglu M., Technological diversity in an evolutionary industry model with localized learning and network externalities, Structural Change and Economic Dynamics, 9, 1, pp. 35-55, (1989)
[6]  
Knight F.H., Risk, Uncertainty and Profits, (1912)
[7]  
Kwasnicki W., Kwasnicka H., Market, innovation, competition. An evolutionary model of industrial dynamics, Journal of Economic Behavior and Organization, 19, pp. 343-368, (1992)
[8]  
Nelson R.R., Winter S., An Evolutionary Theory of Economic Change, (1982)
[9]  
Oltra V., Yildizoglu M., Expectations and adaptive behaviour: the missing trade-off in models of innovation, Mimeo, BETA, (1998)
[10]  
Silverberg G., Dosi G., Orsenigo L., Innovation, diversity and diffusion: a self-organization model, Economic Journal, 98, pp. 1032-1054, (1988)