Computational Techniques for Modelling Learning in Economics

Language: English

Published by Springer, Springer US Okt 2012, 2012

1461372852 / 9781461372851

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 408 pp. Englisch.

Seller Inventory # 9781461372851

Title
Computational Techniques for Modelling Learning in Economics
Author
Thomas Brenner
Publisher
Springer, Springer US Okt 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1461372852
ISBN 13
9781461372851
Item weight
616 grams
Dimensions
235x155x23 mm

buchversandmimpf2000

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