Overview
- Provides the reader with application-orientated tools for studying complex socio-technical systems
- Authored by leading researchers in the field
- Includes data-driven case studies
- Includes supplementary material: sn.pub/extras
Part of the book series: Understanding Complex Systems (UCS)
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About this book
As the interconnectivity between humans through technical devices is becoming ubiquitous, the next step is already in the making: ambient intelligence, i.e. smart (technical) environments, which will eventually play the same active role in communication as the human players, leading to a co-evolution in all domains where real-time communication is essential.
This topical volume, based on the findings of the Socionical European research project, gives equal attention to two highly relevant domains of applications: transport, specifically traffic, dynamics from the viewpoint of a socio-technical interaction and evacuation scenarios for large-scale emergency situations.
Care was taken to investigate as much as possible the limits of scalability and to combine the modeling using complex systems science approaches with relevant data analysis.
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Table of contents (10 chapters)
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Front Matter
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Introduction and Literature Reviews
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Front Matter
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Emergency
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Front Matter
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City Scale
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Front Matter
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Editors and Affiliations
Bibliographic Information
Book Title: Co-evolution of Intelligent Socio-technical Systems
Book Subtitle: Modelling and Applications in Large Scale Emergency and Transport Domains
Editors: Evangelia Mitleton-Kelly
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-642-36614-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-36613-0Published: 11 June 2013
Softcover ISBN: 978-3-642-43865-3Published: 24 June 2015
eBook ISBN: 978-3-642-36614-7Published: 27 May 2013
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: VI, 293
Topics: Complexity, Computer Appl. in Social and Behavioral Sciences, Methodology of the Social Sciences, Data-driven Science, Modeling and Theory Building, Automotive Engineering