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Download Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes (Theory and Decision Library Series B: Mathematical and Statistical Methods, Volume 31) eBook

by Dirk Helbing

Download Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes (Theory and Decision Library Series B: Mathematical and Statistical Methods, Volume 31) eBook
ISBN:
0792331923
Author:
Dirk Helbing
Category:
Mathematics
Language:
English
Publisher:
Kluwer Academic; 1 edition (January 31, 1995)
Pages:
335 pages
EPUB book:
1718 kb
FB2 book:
1510 kb
DJVU:
1553 kb
Other formats
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Rating:
4.1
Votes:
242


Quantitative Sociodynamics presents a general strategy for interdisciplinary model building and its application to a quantitative . Originally, the crucial methods for the modeling of complex systems (stochastic methods and.

Quantitative Sociodynamics presents a general strategy for interdisciplinary model building and its application to a quantitative description of behavioural changes based on social interaction processes.

Problems and Terminology

Problems and Terminology. Decision Theoretical Specification of the Transition Rates. Opinion Formation Models. Quantitative Sociodynamics is relevant both for social scientists and natural scientists who are interested in the application of stochastic and synergetics concepts to interdisciplinary topics. And Summary - I Stochastic Methods and Non-Linear Dynamics - 1 Master Equation in State Space - 2 Boltzmann-Like Equations - 3 Master Equation in Configuration Space - 4 The Fokker-Planck Equation - 5 Langevin Equations and Non-Linear Dynamics - II Quantitative Models of Social Processes - 6 Problems and Terminology.

When I wrote the book Quantitative Sociodynamics, it was .

When I wrote the book Quantitative Sociodynamics, it was an early attempt to make methods from statistical physics and complex systems theory fruitful for the modeling and understanding of social phenomena.

Mobile version (beta). Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes. Download (pdf, . 9 Mb) Donate Read.

Series: Theory and Decision Library 31. File: PDF, . 9 M. Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. 9 MB. Читать онлайн. 1. Plasma Astrophysics and Cosmology: The Second IEEE International Workshop, Princeton, New Jersey, May 10–12, 1993. Anthony L. Peratt (auth. Peratt (ed. Год: 1995.

Originally, the crucial methods for the modeling of complex systems (stochastic methods and nonlinear dynamics) were developed in physics and mathematics, but they have very often proven their explanatory power in chemistry, biology, economics and the social sciences as well. Quantitative Sociodynamics provides a unified and comprehensive overview of the different stochastic.

When I wrote the book Quantitative Sociodynamics, it was an early . Among the ideas worked out in this book are: 1, a statistical theory of binary social interactions,, a mathematical formulation of social ?eld theory, which is the basis of social 2 force models,, a microscopic foundation of evolutionary game theory, based on what is known today as ‘proportional imitation rule’, a stochastic treatment of interactions in evolutionary game theory, and a model for.

Quantitative Sociodynamics book. Goodreads helps you keep track of books you want to read

Quantitative Sociodynamics book. Goodreads helps you keep track of books you want to read. Start by marking Quantitative Sociodynamics: Stochastic Methods And Models Of Social Interaction Processes as Want to Read: Want to Read savin. ant to Read.

Library Catalog Title Author Subject ISBN Series Call Number. ISBN: 3642115454 Subject(s): Social interaction %Mathematical models. Published by : Springer, (Berlin :) Physical details: xxix, 333 p. : ill. ; 24cm. Stochastic processes. Sozialer Prozess Mathematisches Modell Year: 2010. Online Resources: Inhaltsverzeichnis. Tags from this library: No tags from this library for this title.

Sociodynamics dissects the actors of a social system into smaller .

A systematic approach to mathematical modelling in the social sciences A general concept is presented which allows of setting up mathematical models for stochastic and quasi-deterministic dynamic processes in social. Sociodynamics dissects the actors of a social system into smaller subpopulations regarding their thematic characteristics and defines a set of material and personal variables that undergo an evolution 2 while being subject to a set of input parameters. Under interaction of peoples we mean the generalized social and economic mechanisms that cause related changes in the number of employees of different age groups.

Quantitative Sociodynamics presents a general strategy for interdisciplinary model building and its application to a quantitative description of behavioural changes based on social interaction processes. Originally, the crucial methods for the modeling of complex systems (stochastic methods and nonlinear dynamics) were developed in physics but they have very often proved their explanatory power in chemistry, biology, economics and the social sciences. Quantitative Sociodynamics provides a unified and comprehensive overview of the different stochastic methods, their interrelations and properties. In addition, it introduces the most important concepts from nonlinear dynamics (synergetics, chaos theory). The applicability of these fascinating concepts to social phenomena is carefully discussed. By incorporating decision-theoretical approaches a very fundamental dynamic model is obtained which seems to open new perspectives in the social sciences. It includes many established models as special cases, e.g. the logistic equation, the gravity model, some diffusion models, the evolutionary game theory and the social field theory, but it also implies numerous new results. Examples concerning opinion formation, migration, social field theory; the self-organization of behavioural conventions as well as the behaviour of customers and voters are presented and illustrated by computer simulations. Quantitative Sociodynamics is relevant both for social scientists and natural scientists who are interested in the application of stochastic and synergetics concepts to interdisciplinary topics.