Advances in Computational Economics

Computational Techniques for Modelling Learning in Economics

Editors: Brenner, Thomas (Ed.)

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About this book

Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of papers, each of which focuses on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique. Hence, the book offers some guidance in the field of modelling learning in computation economics. In addition, the material contains state-of-the-art applications of the learning models in economic contexts such as the learning of preference, the study of bidding behaviour, the development of expectations, the analysis of economic growth, the learning in the repeated prisoner's dilemma, and the changes of cognitive models during economic transition. The work even includes innovative ways of modelling learning that are not common in the literature, for example the study of the decomposition of task or the modelling of cognitive learning.

Table of contents (15 chapters)

  • Evolutionary Economics and Simulation

    Kwaśnicki, Witold

    Pages 3-44

  • Simulation as a Tool to Model Stochastic Processes in Complex Systems

    Troitzsch, Klaus G.

    Pages 45-69

  • Learning by Genetic Algorithms in Economics?

    Beckenbach, Frank

    Pages 73-100

  • Can Learning-Agent Simulations be used for Computer Assisted Design in Economics?

    Price, Tony Curzon

    Pages 101-121

  • On the Emergence of Attitudes Towards Risk

    Huck, Steffen (et al.)

    Pages 123-143

Buy this book

eBook $209.00
price for USA (gross)
  • ISBN 978-1-4615-5029-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $269.00
price for USA
  • ISBN 978-0-7923-8503-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $269.00
price for USA
  • ISBN 978-1-4613-7285-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computational Techniques for Modelling Learning in Economics
Editors
  • Thomas Brenner
Series Title
Advances in Computational Economics
Series Volume
11
Copyright
1999
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-5029-7
DOI
10.1007/978-1-4615-5029-7
Hardcover ISBN
978-0-7923-8503-5
Softcover ISBN
978-1-4613-7285-1
Series ISSN
0929-130X
Edition Number
1
Number of Pages
XIII, 391
Topics