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Advanced Dynamic Modeling of Economic and Social Systems [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3642440223
  • ISBN-10:  3642440223
  • ISBN-13:  9783642440229
  • ISBN-13:  9783642440229
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2014
  • Pub Date:  01-Mar-2014
  • SKU:  3642440223-11-SPRI
  • SKU:  3642440223-11-SPRI
  • Item ID: 100709540
  • List Price: $109.99
  • Seller: ShopSpell
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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 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.

Arising from the Fifth International Workshop on Dynamics of Social and Economical Systems (DYSES), this book presents recent advances in the use of modern quantitative models for the analysis of problems related to the dynamics of social and economic systems.

Modeling economic and social systems, and their dynamics.-

Advances in data analysis for 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 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 approprlă'

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