Overview
- Latest research in Modelling and Simulation of Complex Social Systems
- Presents the modelling of the complex dynamics that drive the linked epidemiologies of crime, disease, homelessness and other social ills in urban neighborhoods
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 52)
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Table of contents (12 chapters)
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Front Matter
Keywords
About this book
Research into social systems is challenging due to their complex nature. Traditional methods of analysis are often difficult to apply effectively as theories evolve over time. This can be due to a lack of appropriate data, or too much uncertainty. It can also be the result of problems which are not yet understood well enough in the general sense so that they can be classified, and an appropriate solution quickly identified. Simulation is one tool that deals well with these challenges, fits in well with the deductive process, and is useful for testing theory. This field is still relatively new, and much of the work is necessarily innovative, although it builds upon a rich and varied foundation. There are a number of existing modelling paradigms being applied to complex social systems research. Additionally, new methods and measures are being devised through the process of conducting research.
We expect that readers will enjoy the collection of high quality research works from new and accomplished researchers.
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Editors and Affiliations
Bibliographic Information
Book Title: Theories and Simulations of Complex Social Systems
Editors: Vahid Dabbaghian, Vijay Kumar Mago
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-39149-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-39148-4Published: 11 November 2013
Softcover ISBN: 978-3-662-52174-8Published: 23 August 2016
eBook ISBN: 978-3-642-39149-1Published: 27 October 2013
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: X, 204
Number of Illustrations: 72 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Applications of Nonlinear Dynamics and Chaos Theory