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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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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Keywords
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.
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
Industry Sectors: Aerospace