Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences
Mathematical modeling using dynamical systems and partial differential equations is now playing an increasing role in the understanding of complex multi-scale phenomena. Behavior in seemingly different areas such as sociology, economics, and the life sciences can be described by closely related mode...
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| Other Authors: | , , |
| Format: | Electronic |
| Language: | English |
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Boston :
Birkhũser Boston,
2010.
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| Series: | Modeling and Simulation in Science, Engineering and Technology
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| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-8176-4946-3 |
Table of Contents:
- Part I. Economic modelling and financial markets
- Agent-based models of economic interactions
- On kinetic asset exchange models and beyond: microeconomic formulation, trade network and all that
- Microscopic and kinetic models in financial markets
- A mathematical theory for wealth distribution
- Tolstoy's dream and the quest for statistical equilibrium in economics and the social sciences
- Part II. Social modelling and opinion formation
- New perspectives in the equilibrium statistical mechanics approach to social and economic sciences
- Kinetic modelling of complex socio-economic systems
- Mathematics and physics applications in sociodynamics simulation: the case of opinion formation and diffusion
- Global dynamics in adaptive models of collective choice with social influence
- Modelling opinion formation by means of kinetic equations
- Part III. Human behavior and swarming
- On the modelling of vehicular traffic and crowds by kinetic theory of active particles
- Particle, kinetic, and hydrodynamic models of swarming
- Modeling self-organization in pedestrians and animal groups from macroscopic and microscopic viewpoints
- Statistical physics and modern human warfare
- Diffusive and nondiffusive population models.