1995 HC Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes (Theory and Decision Library Series B: Mathematical and Statistical Methods, Volume 31)

Helbing, Dirk

ISBN 10: 0792331923 / ISBN 13: 9780792331926

Published by Kluwer Academic Pub, 1995

About this Item

Pages are crisp and clean, no marking. Cover is verygood. Binding is tight/good.

Seller Inventory # hc-bs20

Bibliographic Details

• Title: 1995 HC Quantitative Sociodynamics: Stochastic Methods and Models of Social Interaction Processes (Theory and Decision Library Series B: Mathematical and Statistical Methods, Volume 31)
• Publisher: Kluwer Academic Pub
• Publication Date: 1995
• Language: English
• ISBN 10: 0792331923
• ISBN 13: 9780792331926
• Binding: hardcover
• Condition: Very Good
• Weight: 32 ounces

About this title

Synopsis

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.

Review

From the reviews:

“This ambitious volume aims to provide a comprehensive account of mathematical methods for the quantitative study of social processes, with a focus on stochastic methods. ... To summarise, as an introduction to such mathematics, it is admirably comprehensive and goes through the various derivations in a careful step-by-step manner. ... an excellent reference for those with some mathematical expertise in the area to refer to. For those who straddle the simulation and mathematical communities it could be very useful.” (Bruce Edmonds and Mario Paolucci, Journal of Artificial Societies and Social Simulation, April, 2012)