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|a Co-evolution of Intelligent Socio-technical Systems
|h [electronic resource] :
|b Modelling and Applications in Large Scale Emergency and Transport Domains /
|c edited by Evangelia Mitleton-Kelly.
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| 250 |
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|a 1st ed. 2013.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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| 300 |
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|a VI, 293 p.
|b online resource.
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|a Understanding Complex Systems,
|x 1860-0832
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|a Springer eBook Collection
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|a Part I : Introduction and literature reviews -- The Socionical FP7 Project and an outline of the volume -- Enhancing Crowd Evacuation & Traffic Management, through AmI technologies - A Review of the Literature -- A The Concept of ‘Co-evolution’ and its Application in the Social Sciences – A Review of the literature -- Part II: EMERGENCY -- Using mobile technology and a participatory sensing approach for crowd monitoring during large-scale mass gatherings -- Agent-based Modelling of Social Emotional Decision Making in Emergency Situations,- Designing Complex Socio-technical Systems: Empirically Grounded Simulations as Tools for Experience-based Design Space Explorations -- Part III: TRANSPORT -- Enhancing Future Mass ICT with Social Capabilities -- Emerging Phenomena During Driving Interactions -- Effective Assessment of AmI Intervention in Traffic Through Quantitative Measures -- Part IV: CITY SCALE -- City Scale Evacuation Simulation: A High-Performance Multi-Agent Simulation Framework.
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| 520 |
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|a 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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| 590 |
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|a Loaded electronically.
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| 590 |
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|a Electronic access restricted to members of the Holy Cross Community.
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| 650 |
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|a Computational complexity.
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| 650 |
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|a Application software.
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| 650 |
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|a Social sciences.
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| 650 |
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|a Sociophysics.
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| 650 |
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|a Econophysics.
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| 650 |
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|a Automotive engineering.
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| 690 |
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|a Electronic resources (E-books)
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| 700 |
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|a Mitleton-Kelly, Evangelia.
|e editor.
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