Can evolutionary algorithms describe learning processes?

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Can evolutionary algorithms describe learning processes?

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Thomas Brenner () (Max-Planck-Institute for Research into Economic Systems, Evolutionary Economics Unit, Kahlaische Strasse 10, D-07745 Jena, Germany)

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Thomas Brenner

Abstract

Evolutionary algorithms have attracted more and more the attention of economists in recent years. Repeatedly it is claimed that they are an adequate tool to describe learning processes within a population of individuals. The present paper examines this claim. To this end, a learning model is set up that contains the three elements of variation, elimination, and imitation that are claimed to correspond with the processes of mutation, selection, and replication of biological evolution. Subsequently, this model is compared with a formulation of evolutionary algorithms. The comparison reveals that although both processes have a similar structure there are crucial differences between the two dynamics.

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Article provided by Springer in its journal Journal of Evolutionary Economics.

Volume (Year): 8 (1998)
Issue (Month): 3 ()
Pages: 271-283
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Handle: RePEc:spr:joevec:v:8:y:1998:i:3:p:271-283

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Find related papers by JEL classification:
A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations

Cited by:
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Tomas Klos, 1999. "Governance and Matching," Computing in Economics and Finance 1999 341, Society for Computational Economics. [Downloadable!]
Other versions:
- Klos, Tomas B., 1999. "Governance and matching," Research Report 99B41, University of Groningen, Research Institute SOM (Systems, Organisations and Management). [Downloadable!]
Jérome VICENTE (GRES-LEREPS), 2003. "From interaction economics to economic geography : theories and evidences (In French)," Cahiers du GRES 2003-02, Groupement de Recherches Economiques et Sociales. [Downloadable!]
Fent, Thomas, 1999. "Using Genetics Based Machine Learning to find Strategies for Product Placement in a dynamic Market," MPRA Paper 2837, University Library of Munich, Germany. [Downloadable!]
Murat Yildizoglu, 1999. "Competing R&D Strategies in an Evolutionary Industry Model," Working Papers of BETA 9914, Bureau d'Economie Théorique et Appliquée, ULP, Strasbourg. [Downloadable!]
Other versions:
- Murat Yildizoglu, 1999. "Competing R&D Strategies in an Evolutionary Industry Model," Computing in Economics and Finance 1999 343, Society for Computational Economics. [Downloadable!]
- Yildizoglu, Murat, 2002. "Competing R&D Strategies in an Evolutionary Industry Model," Computational Economics, Springer, vol. 19(1), pages 51-65, February. [Downloadable!]
Markus Pasche, 2005. "Das Vertrauensspiel - eine verhaltensorientierte Erklärung," Jenaer Schriften zur Wirtschaftswissenschaft 19/2005, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]

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