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Complex Systems and Society

Modeling and Simulation

  • Book
  • © 2013

Overview

Authors:
  1. Nicola Bellomo

    1. , Dept. of Mathematical Sciences, Politecnico di Torino, Torino, Italy

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  2. Giulia Ajmone Marsan

    1. and Development, GOV/RDP, Organization for Economic Co-Operation, Paris, France

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  3. Andrea Tosin

    1. , Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche, Rome, Italy

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  • Contents look ahead to a new approach to modelling and simulation of real-world systems?
  • Introduces models of individual behaviours in the social and economic sciences
  • Examines recently developed modelling approaches using stochastic game theory
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Mathematics (BRIEFSMATH)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xii
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  2. The Role of Individual Behaviors in Socio-Economic Sciences

    • Giulia Ajmone Marsan, Nicola Bellomo, Andrea Tosin
    Pages 1-10

  3. Mathematical Tools for Modeling Social Complex Systems

    • Giulia Ajmone Marsan, Nicola Bellomo, Andrea Tosin
    Pages 11-32

  4. Modeling Cooperation and Competition in Socio-Economic Systems

    • Giulia Ajmone Marsan, Nicola Bellomo, Andrea Tosin
    Pages 33-50

  5. Welfare Policy: Applications and Simulations

    • Giulia Ajmone Marsan, Nicola Bellomo, Andrea Tosin
    Pages 51-68

  6. Forward Look at Research Perspectives

    • Giulia Ajmone Marsan, Nicola Bellomo, Andrea Tosin
    Pages 69-81

  7. Back Matter

    Pages 83-90
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Keywords

About this book

This work aims to foster the interdisciplinary dialogue between mathematicians and socio-economic scientists. Interaction among scholars and practitioners traditionally coming from different research areas is necessary more than ever in order to better understand many real-world problems we face today.   On the one hand, mathematicians need economists and social scientists to better address the methodologies they design in a more realistic way; on the other hand, economists and social scientists need to be aware of sound mathematical modelling tools in order to understand and, ultimately, solve the complex problems they encounter in their research.   With this goal in mind, this work is designed to take into account a multidisciplinary approach that will encourage the transfer of knowledge, ideas, and methodology from one discipline to the other. In particular, the work has three main themes:   Demystifying and unravelling complex systems; Introducing models of individual behaviours in the social and economic sciences; Modelling socio-economic sciences as complex living systems.   Specific tools examined in the work include a recently developed modelling approach using stochastic game theory within the framework of statistical mechanics and progressing up to modeling Darwinian evolution. Special attention is also devoted to social network theory as a fundamental instrument for the understanding of socio-economic systems.​

Authors and Affiliations

  • , Dept. of Mathematical Sciences, Politecnico di Torino, Torino, Italy

    Nicola Bellomo

  • and Development, GOV/RDP, Organization for Economic Co-Operation, Paris, France

    Giulia Ajmone Marsan

  • , Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche, Rome, Italy

    Andrea Tosin

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