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Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models - Couverture souple
Synopsis
The fact that I have the opportunity to present a second edition of this monograph is an indicator for the growing size of the community concerned with agent-based computational economics. The rapid developments in this field make it very difficult to keep a volume like this, which is partly devoted to surveying the literature, up to date. I have done my best to incorporate the relevant new developments in this revised edition but it is in the nature of such a work that the selection of material covered is biased by the authors personal interest and his informational constraints. My apologies go to all researchers in this field whose work is not or not adequately represented in this book. Besides the correction of some errors and typos several additions have been made. In the literature survey sections 2.4 (which was also reorganized) and 3.5 new material was added. I have also added a new section in chapter 3 which deals with the question how well empirically observed phenomena can be explained by GA simulations. A new section in chapter 6 presents a rather extensive analysis of the behavior of a two population GA in the framework of a sealed bid double auction market. Further minor additions and changes were made throughout the text.
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- ÉditeurSpringer
- Date d'édition2012
- ISBN 10 3642621066
- ISBN 13 9783642621062
- ReliureBroché
- Langueanglais
- Nombre de pages220
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Adaptive Learning by Genetic Algorithms
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Springer Berlin Heidelberg, 2012
ISBN 10 : 3642621066
ISBN 13 : 9783642621062
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduction to the field of agent-based computational economics and genetic algorithmsAnalytical results and examples facilitate the understanding of the learning behavior of genetic algorithms in economic modelsThe fact that I have the opportunity. N° de réf. du vendeur 5064528
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Adaptive Learning by Genetic Algorithms : Analytical Results and Applications to Economic Models
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642621066
ISBN 13 : 9783642621062
Neuf
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The fact that I have the opportunity to present a second edition of this monograph is an indicator for the growing size of the community concerned with agent-based computational economics. The rapid developments in this field make it very difficult to keep a volume like this, which is partly devoted to surveying the literature, up to date. I have done my best to incorporate the relevant new developments in this revised edition but it is in the nature of such a work that the selection of material covered is biased by the authors personal interest and his informational constraints. My apologies go to all researchers in this field whose work is not or not adequately represented in this book. Besides the correction of some errors and typos several additions have been made. In the literature survey sections 2.4 (which was also reorganized) and 3.5 new material was added. I have also added a new section in chapter 3 which deals with the question how well empirically observed phenomena can be explained by GA simulations. A new section in chapter 6 presents a rather extensive analysis of the behavior of a two population GA in the framework of a sealed bid double auction market. Further minor additions and changes were made throughout the text. N° de réf. du vendeur 9783642621062
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Adaptive Learning by Genetic Algorithms
Edité par
Springer Berlin Heidelberg Aug 2012, 2012
ISBN 10 : 3642621066
ISBN 13 : 9783642621062
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The fact that I have the opportunity to present a second edition of this monograph is an indicator for the growing size of the community concerned with agent-based computational economics. The rapid developments in this field make it very difficult to keep a volume like this, which is partly devoted to surveying the literature, up to date. I have done my best to incorporate the relevant new developments in this revised edition but it is in the nature of such a work that the selection of material covered is biased by the authors personal interest and his informational constraints. My apologies go to all researchers in this field whose work is not or not adequately represented in this book. Besides the correction of some errors and typos several additions have been made. In the literature survey sections 2.4 (which was also reorganized) and 3.5 new material was added. I have also added a new section in chapter 3 which deals with the question how well empirically observed phenomena can be explained by GA simulations. A new section in chapter 6 presents a rather extensive analysis of the behavior of a two population GA in the framework of a sealed bid double auction market. Further minor additions and changes were made throughout the text. 220 pp. Englisch. N° de réf. du vendeur 9783642621062
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Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models
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Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models
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Adaptive Learning by Genetic Algorithms
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Adaptive Learning by Genetic Algorithms
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Adaptive Learning by Genetic Algorithms
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2012, 2012
ISBN 10 : 3642621066
ISBN 13 : 9783642621062
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -The fact that I have the opportunity to present a second edition of this monograph is an indicator for the growing size of the community concerned with agent-based computational economics. The rapid developments in this field make it very difficult to keep a volume like this, which is partly devoted to surveying the literature, up to date. I have done my best to incorporate the relevant new developments in this revised edition but it is in the nature of such a work that the selection of material covered is biased by the authors personal interest and his informational constraints. My apologies go to all researchers in this field whose work is not or not adequately represented in this book. Besides the correction of some errors and typos several additions have been made. In the literature survey sections 2.4 (which was also reorganized) and 3.5 new material was added. I have also added a new section in chapter 3 which deals with the question how well empirically observed phenomena can be explained by GA simulations. A new section in chapter 6 presents a rather extensive analysis of the behavior of a two population GA in the framework of a sealed bid double auction market. Further minor additions and changes were made throughout the text.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch. N° de réf. du vendeur 9783642621062
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Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models
Edité par
Springer, 2012
ISBN 10 : 3642621066
ISBN 13 : 9783642621062
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