Computational Techniques for Modelling Learning in Economics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Brenner, Thomas 编作者

Kluwer Academic Pub

译者

1999-5 出版日期

404 页数

$ 303.97 价格

HRD

丛书系列

9780792385035 图书编码

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Computational Techniques for Modelling Learning in Economics 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Computational Techniques for Modelling Learning in Economics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

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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.

Computational Techniques for Modelling Learning in Economics 在线电子书下载 mobi epub pdf txt 在线电子书下载

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