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Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences

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Table of Contents

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    Book Overview
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    Chapter 1 Agent-based models of economic interactions
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    Chapter 2 On kinetic asset exchange models and beyond: microeconomic formulation,trade network, and all that
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    Chapter 3 Microscopic and kinetic models in financial markets
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    Chapter 4 A mathematical theory for wealth distribution
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    Chapter 5 Tolstoy’s dream and the quest for statistical equilibrium in economics and the social sciences
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    Chapter 6 New perspectives in the equilibrium statistical mechanics approach to social and economic sciences
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    Chapter 7 Kinetic modelling of complex socio-economic systems
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    Chapter 8 Mathematics and physics applications in sociodynamics simulation: the case of opinion formation and diffusion
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    Chapter 9 Global dynamics in adaptive models of collective choice with social influence
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    Chapter 10 Modelling opinion formation by means of kinetic equations
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    Chapter 11 On the modelling of vehicular traffic and crowds by kinetic theory of active particles
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    Chapter 12 Particle, kinetic, and hydrodynamic models of swarming
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    Chapter 13 Modeling self-organization in pedestrians and animal groups from macroscopic and microscopic viewpoints
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    Chapter 14 Statistical physics and modern human warfare
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    Chapter 15 Diffusive and nondiffusive population models
Attention for Chapter 15: Diffusive and nondiffusive population models
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Chapter title
Diffusive and nondiffusive population models
Chapter number 15
Book title
Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences
Published by
Birkhäuser Boston, January 2010
DOI 10.1007/978-0-8176-4946-3_15
Book ISBNs
978-0-8176-4945-6, 978-0-8176-4946-3
Authors

Ansgar Jüngel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Professor 6 27%
Researcher 5 23%
Professor > Associate Professor 4 18%
Student > Ph. D. Student 2 9%
Student > Bachelor 1 5%
Other 4 18%
Readers by discipline Count As %
Mathematics 12 55%
Physics and Astronomy 3 14%
Engineering 2 9%
Computer Science 2 9%
Unspecified 1 5%
Other 2 9%