Learning in Economics: Analysis and Application of Genetic Algorithms: Contributions to Economics
Autor Thomas Riechmannen Limba Engleză Paperback – 13 mar 2001
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Specificații
ISBN-13: 9783790813845
ISBN-10: 3790813842
Pagini: 196
Ilustrații: XVI, 180 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.29 kg
Ediția:Softcover reprint of the original 1st ed. 2001
Editura: Physica-Verlag HD
Colecția Physica
Seria Contributions to Economics
Locul publicării:Heidelberg, Germany
ISBN-10: 3790813842
Pagini: 196
Ilustrații: XVI, 180 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.29 kg
Ediția:Softcover reprint of the original 1st ed. 2001
Editura: Physica-Verlag HD
Colecția Physica
Seria Contributions to Economics
Locul publicării:Heidelberg, Germany
Public țintă
ResearchCuprins
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
Includes supplementary material: sn.pub/extras