| Description |
1 online resource |
| Series |
Understanding Complex Systems, 1860-0832 |
|
Springer complexity |
|
Understanding complex systems.
|
|
Springer complexity.
|
| Contents |
Introduction and Literature Reviews -- Introduction: The SOCIONICAL FP7 Project and an Outline of the Volume / Eve Mitleton-Kelly, Paul Lukowicz -- Enhancing Crowd Evacuation and Traffic Management Through AmI Technologies: A Review of the Literature / Eve Mitleton-Kelly, Ivan Deschenaux, Christian Maag, Matthew Fullerton, Nihan Celikkaya -- The Concept of 'Co-evolution' and Its Application in the Social Sciences: A Review of the Literature / Eve Mitleton-Kelly, Laura K. Davy -- Emergency -- Using Mobile Technology and a Participatory Sensing Approach for Crowd Monitoring and Management During Large-Scale Mass Gatherings / Martin Wirz, Eve Mitleton-Kelly, Tobias Franke, Vanessa Camilleri, Matthew Montebello -- Agent-Based Modelling of Social Emotional Decision Making in Emergency Situations / Tibor Bosse, Mark Hoogendoorn, Michel Klein, Alexei Sharpanskykh, Jan Treur -- Designing Complex Socio-Technical Systems: Empirically Grounded Simulations as Tools for Experience-Based Design Space Explorations / Markus Valle-Klann -- Transport -- Enhancing Future Mass ICT with Social Capabilities / Andreas Riener, Alois Ferscha -- Emerging Phenomena During Driving Interactions / Christian Maag -- Effective Assessment of AmI Intervention in Traffic Through Quantitative Measures / Richard Holzer, Matthew Fullerton, Nihan Celikkaya, Cristina Beltran Ruiz -- City Scale -- City Scale Evacuation: A High-Performance Multi-agent Simulation Framework / Kashif Zia, Alois Ferscha |
| Summary |
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 |
| Analysis |
Engineering |
|
Social sciences -- Data processing |
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Social sciences -- Methodology |
|
Complexity |
|
Computer Appl. in Social and Behavioral Sciences |
|
Methodology of the Social Sciences |
|
Socio- and Econophysics, Population and Evolutionary Models |
| Subject |
Ambient intelligence.
|
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Transportation -- Data processing
|
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Emergency management -- Computer simulation
|
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Physique.
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Astronomie.
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Ambient intelligence
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Emergency management -- Computer simulation
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Transportation -- Data processing
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| Form |
Electronic book
|
| Author |
Mitleton-Kelly, Eve.
|
| ISBN |
9783642366147 |
|
3642366147 |
|
3642366139 |
|
9783642366130 |
|
