Author: Herbert Dawid
Edition: 1
Publisher: Springer
Binding: Paperback
ISBN: 354061513X
Category: Programming
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Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economical Models (Lecture Notes in Economics and Mathematical Systems)
This book considers the learning behavior of Genetic Algorithms in economic systems with mutual interaction, like markets. Programming books Adaptive Learning by Genetic Algorithms pdf. . Download books adaptive learning by genetic algorithms - dawid, herbert pdf via mediafire, 4shared, rapidshare.
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Store Search search Title, ISBN and Author Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models by Herbert Dawid Estimated delivery 3-12 business days Format Hardcover Condition Brand New This book deals with the learning behavior of boundedly rational agents in economic systems. In particular, the modeling of learning populations by genetic algorithms is studied in detail. After an extensive review and discussion of the existing literature in the firs
Store Search search Title, ISBN and Author Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models by Herbert Dawid Estimated delivery 3-12 business days Format Hardcover Condition Brand New This book deals with the learning behavior of boundedly rational agents in economic systems. In particular, the modeling of learning populations by genetic algorithms is studied in detail. After an extensive review and discussion of the existing literature in the firs
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Adaptive Learning by Genetic Algorithms Springer 9783540656074 09783540656074
Adaptive Learning by Genetic Algorithms Springer 9783540656074 09783540656074
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Categories: Economics->Mathematical models, Genetic algorithms, Economics->Mathematical models. Contributors: Herbert Dawid - Author. Format: Hardcover
Categories: Economics->Mathematical models, Genetic algorithms, Economics->Mathematical models. Contributors: Herbert Dawid - Author. Format: Hardcover
Price: $39.99
This book considers the learning behavior of Genetic Algorithms in economic systems with mutual interaction, like markets. Such systems are characterized by a state dependent fitness function and for the first time mathematical results characterizing the long run outcome of genetic learning in such systems are provided. Several insights concerning the impact of the use of different genetic operators, coding mechanisms and parameter constellations are gained. The usefulness of the derived results is illustrated by a large number of simulations in evolutionary games and economic models.
This book considers the learning behavior of Genetic Algorithms in economic systems with mutual interaction, like markets. Such systems are characterized by a state dependent fitness function and for the first time mathematical results characterizing the long run outcome of genetic learning in such systems are provided. Several insights concerning the impact of the use of different genetic operators, coding mechanisms and parameter constellations are gained. The usefulness of the derived results is illustrated by a large number of simulations in evolutionary games and economic models.
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Such systems are characterized by a state dependent fitness function and for the first time mathematical results characterizing the long run outcome of genetic learning in such systems are provided. Several insights concerning the impact of the use of different genetic operators, coding mechanisms and parameter constellations are gained. The usefulness of the derived results is illustrated by a large number of simulations in evolutionary games and economic models. Download free Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economical Models (Lecture Notes in Economics and Mathematical Systems) pdf
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