Adaptive Learning by Genetic Algorithms

Name: Adaptive Learning by Genetic Algorithms
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540656074
Price: 553.26 RON
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Analytical Results and Applications to Economic Models

Autor: Herbert Dawid

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Legare: Copertă tare

Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Disponibilitate: În depozitul extern

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This book deals with the learning behavior of boundedly rational agents in economic systems. In part...

Informații despre carte

Autor

Herbert Dawid

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1999

Pagini

200

EAN

9783540656074

ISBN

3540656073

Enbook ID

01566899

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

1080

Dimensiuni

155 x 235 x 17

Descriere completă

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 first part, a mathematical analysis of the dynamic properties of genetic algorithm learning in the general framework of systems with a state dependent fitness function is provided. It is shown that co-evolutionary economic models typically fall into this class and the usefulness of the analytical results derived is illustrated in several game theoretic and microeconomic models. The mathematical analysis is complemented by extensive simulation analyses. The last part of the book demonstrates how the obtained theory may be used to design the algorithm such that the learning of equilibria of the economic system is facilitated.

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Adaptive Learning by Genetic Algorithms

Analytical Results and Applications to Economic Models

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