Complex Systems and Society Modeling and Simulation /
Bellomo, Nicola.
Complex Systems and Society Modeling and Simulation / [electronic resource] : by Nicola Bellomo, Giulia Ajmone Marsan, Andrea Tosin. - 1st ed. 2013. - XII, 90 p. 12 illus. in color. online resource. - SpringerBriefs in Mathematics, 2191-8198 . - SpringerBriefs in Mathematics, .
1. The Role of Individual Behaviors in Socio-Economic Sciences -- 2. Mathematical Tools for Modeling Social Complex Systems -- 3. Modeling Cooperation and Competition in Socio-Economic Systems -- 4. Welfare Policy: Applications and Simulations -- 5. Forward Look at Research Perspectives -- References.
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.
9781461472421
10.1007/978-1-4614-7242-1 doi
Mathematical models.
Economic theory.
System theory.
Social sciences.
Game theory.
Applied mathematics.
Engineering mathematics.
Mathematical Modeling and Industrial Mathematics.
Economic Theory/Quantitative Economics/Mathematical Methods.
Complex Systems.
Social Sciences, general.
Game Theory, Economics, Social and Behav. Sciences.
Applications of Mathematics.
TA342-343
003.3
Complex Systems and Society Modeling and Simulation / [electronic resource] : by Nicola Bellomo, Giulia Ajmone Marsan, Andrea Tosin. - 1st ed. 2013. - XII, 90 p. 12 illus. in color. online resource. - SpringerBriefs in Mathematics, 2191-8198 . - SpringerBriefs in Mathematics, .
1. The Role of Individual Behaviors in Socio-Economic Sciences -- 2. Mathematical Tools for Modeling Social Complex Systems -- 3. Modeling Cooperation and Competition in Socio-Economic Systems -- 4. Welfare Policy: Applications and Simulations -- 5. Forward Look at Research Perspectives -- References.
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.
9781461472421
10.1007/978-1-4614-7242-1 doi
Mathematical models.
Economic theory.
System theory.
Social sciences.
Game theory.
Applied mathematics.
Engineering mathematics.
Mathematical Modeling and Industrial Mathematics.
Economic Theory/Quantitative Economics/Mathematical Methods.
Complex Systems.
Social Sciences, general.
Game Theory, Economics, Social and Behav. Sciences.
Applications of Mathematics.
TA342-343
003.3