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Adaptive Learning by Genetic Algorithms

Analytical Results and Applications to Economic Models

  • Book
  • © 1999

Overview

Authors:
  1. Herbert Dawid

    1. Department of Management Science, University of Vienna, Vienna, Austria

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  • Introduction to the field of agent-based computational economics and genetic algorithms
  • Analytical results and examples facilitate the understanding of the learning behavior of genetic algorithms in economic models

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-XIII
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  2. Introduction

    • Herbert Dawid
    Pages 1-5

  3. Bounded Rationality and Artificial Intelligence

    • Herbert Dawid
    Pages 7-39

  4. Genetic Algorithms

    • Herbert Dawid
    Pages 41-69

  5. Genetic Algorithms with a State Dependent Fitness Function

    • Herbert Dawid
    Pages 71-96

  6. Genetic Learning in Evolutionary Games

    • Herbert Dawid
    Pages 97-119

  7. Simulations with Genetic Algorithms in Economic Systems

    • Herbert Dawid
    Pages 121-159

  8. Stability and Encoding

    • Herbert Dawid
    Pages 161-168

  9. Conclusions

    • Herbert Dawid
    Pages 169-170

  10. Back Matter

    Pages 171-200
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Management Science, University of Vienna, Vienna, Austria

    Herbert Dawid

Bibliographic Information

  • Book Title: Adaptive Learning by Genetic Algorithms

  • Book Subtitle: Analytical Results and Applications to Economic Models

  • Authors: Herbert Dawid

  • DOI: https://doi.org/10.1007/978-3-642-18142-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1999

  • Hardcover ISBN: 978-3-540-65607-4Published: 15 April 1999

  • Softcover ISBN: 978-3-642-62106-2Published: 20 August 2012

  • eBook ISBN: 978-3-642-18142-9Published: 28 June 2011

  • Edition Number: 2

  • Number of Pages: XIII, 200

  • Additional Information: Originally published as volume 441 in the series: Lecture Notes in Economics and Mathematical Systems

  • Topics: Analysis, Economic Theory/Quantitative Economics/Mathematical Methods, Information Systems Applications (incl. Internet)

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