Learning in Economics: Analysis and Application of Genetic Algorithms
Author:   Thomas Riechmann
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 2001
ISBN:  

9783790813845


Pages:   180
Publication Date:   13 March 2001
Format:   Paperback
Availability:   In Print   Availability explained
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Learning in Economics: Analysis and Application of Genetic Algorithms


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Overview

The book is dedicated to the use of genetic algorithms in theoretical economic research. Genetic algorithms offer the chance of overcoming the limitations traditional mathematical tractability puts on economic research and thus open new horzions for economic theory. The book reveals close relationships between the theory of economic learning via genetic algorithms, dynamic game theory, and evolutionary economics. Genetic algorithms are here introduced as metaphors for processes of social and individual learning in economics. The book gives a simple description of the basic structures of economic genetic algorithms, followed by an in-depth analysis of their working principles. Several well-known economic models are reconstructed to incorporate genetic algorithms. Genetic algorithms thus help to find genuinely new results of well-known economic problems.

Full Product Details

Author:   Thomas Riechmann
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   Softcover reprint of the original 1st ed. 2001
Dimensions:   Width: 15.50cm , Height: 1.00cm , Length: 23.50cm
Weight:   0.640kg
ISBN:  

9783790813845


ISBN 10:   3790813842
Pages:   180
Publication Date:   13 March 2001
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

I. Introduction.- 1. Introduction.- 2. The Core Topics; Learning and Computational Economics.- 3. An Exemplary Introduction to Structure and Application of Genetic Algorithms in Economic Research.- II. General Analysis of Genetic Algorithms.- 4. Methods for the General Analysis of Genetic Algorithms as Economic Learning Techniques.- 5. Statistical Aspects of the Analysis of Economic Genetic Algorithms.- III. Economic Applications and Technical Variations.- 6. Modifications: Election and Meta¡ªLearning.- 7. Extensions: Variable Time Horizon of Selection.- 8. Algorithms with Real Valued Coding.- 9. A Multi Population Algorithm.- 10. Final Remarks.

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