Advanced Dynamic Modeling of Economic and Social Systems [electronic resource] / edited by Araceli N. Proto, Massimo Squillante, Janusz Kacprzyk.
By: Proto, Araceli N [editor.].
Contributor(s): Squillante, Massimo [editor.] | Kacprzyk, Janusz [editor.] | SpringerLink (Online service).
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BookSeries: Studies in Computational Intelligence: 448Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XIV, 233 p. 71 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642329036.Subject(s): Engineering | Artificial intelligence | Management information systems | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Business Information SystemsDDC classification: 006.3 Online resources: Click here to access online
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Springer eBooksSummary: 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.
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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