Name: soft computing methods in human sciences (en Inglés)
Price: 172.87 USD
Availability: InStock
Author: Niskanen, VESA A.
ISBN: 9783642055928

portada soft computing methods in human sciences (en Inglés)

Formato

Libro Físico

Autor

VESA A. Niskanen

Editorial

Springer

Año

2010

Idioma

Inglés

N° páginas

272

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.5 cm

Peso

0.41 kg.

ISBN

3642055923

ISBN13

9783642055928

Categorías

Matemáticas aplicadas
Modelos y simulaciones por ordenador
Inteligencia artificial

soft computing methods in human sciences (en Inglés)

VESA A. Niskanen (Autor) · Springer · Tapa Blanda

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$ 172.87

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "soft computing methods in human sciences (en Inglés)"

This book considers Soft Computing methods and their applications in the human sciences. Soft Computing methods - including fuzzy systems, neural networks, evolutionary computing and probabilistic reasoning - are state-of-the-art methods in theory formation and model construction. They mainly stem from the natural sciences, and they have already proved to be powerful in their applications because Soft Computing models, particularly fuzzy system models, are simple and correspond well to the actual world and to human reasoning. Hence, we no longer have to use the complicated mathematical models that have prevailed in this research area. Dozens of books and thousands of articles have been devoted to applications of Soft Computing in the natural sciences, but only a few studies have focused on its applications in the human sciences, such as the social and the behavioral sciences - this despite the fact that these novel methods seem to open a number of inspiring prospects in these disciplines. In quantitative research in the human sciences, typical application areas include statistical models that can be replaced by simpler numerical or linguistic Soft Computing models. In qualitative research, Soft Computing methods can enhance modelling because, instead of having to do manual work, we can use computer simulations with approximate and/or linguistic constituents.