Co-evolution of Intelligent Socio-technical Systems Modelling and Applications in Large Scale Emergency and Transport Domains /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Mitleton-Kelly, Evangelia. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Understanding Complex Systems,
• Subjects: Engineering.; Social sciences > Data processing.; Physics.; Social sciences > Methodology.; Complexity.; Computer Appl. in Social and Behavioral Sciences.; Methodology of the Social Sciences.; Socio- and Econophysics, Population and Evolutionary Models.; Automotive Engineering.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-36614-7
• Physical Description: VI, 293 p. 88 illus., 77 illus. in color. online resource.
• ISBN: 9783642366147
• ISSN: 1860-0832

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.