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Computational Techniques for Modelling Learning in Economics
Thomas . Ed(S): Brenner
€ 250.41
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Description for Computational Techniques for Modelling Learning in Economics
Paperback. Editor(s): Brenner, Thomas. Series: Advances in Computational Economics. Num Pages: 391 pages, biography. BIC Classification: KCA. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 21. Weight in Grams: 623.
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. ... Read more
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. ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
391
Condition
New
Series
Advances in Computational Economics
Number of Pages
391
Place of Publication
New York, NY, United States
ISBN
9781461372851
SKU
V9781461372851
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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