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Advanced Dynamic Modeling of Economic and Social Systems

In this volume recent advances in the use of modern quantitative models for the analysis of various problems related to the dynamics of social and economic systems are presented. The majority of the chapters describe tools and techniques of broadly perceived computational intelligence, notably fuzzy...

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Bibliographic Details
Other Authors: Proto, Araceli N. (Editor), Squillante, Massimo (Editor), Kacprzyk, Janusz (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013, 2013
Edition:1st ed. 2013
Series:Studies in Computational Intelligence
Subjects:
Computational Intelligence
Artificial Intelligence
It In Business
Business Information Services
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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520 |a In this volume recent advances in the use of modern quantitative models for the analysis of various problems related to the dynamics of social and economic systems are presented. The majority of the chapters describe tools and techniques of broadly perceived computational intelligence, notably fuzzy logic, evolutionary computation, neural networks and some non-standard probabilistic and statistical analyses. Due to the high complexity of the systems and problems considered, in many situations it is necessary to consider at the same time analytic, topological and statistical aspects and apply appropriate procedures and algorithms. This volume is a direct result of vivid discussions held during the Fifth International Workshop on Dynamics of Social and Economical Systems (DYSES) which was held at Benevento, Italy September 20-25, 2010, as well as a couple of post-workshop meetings and consultations 

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