Co-evolution of Intelligent Socio-technical Systems
Co-evolution of Intelligent Socio-technical Systems Modelling and Applications in Large Scale Emergency and Transport Domains / [electronic resource] :
edited by Evangelia Mitleton-Kelly.
- VI, 293 p. online resource.
- Understanding Complex Systems, 1860-0832 .
- Understanding Complex Systems, .
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.
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.
9783642366147
10.1007/978-3-642-36614-7 doi
Engineering.
Application software.
Sociophysics.
Econophysics.
Complexity, Computational.
Automotive engineering.
Social sciences.
Engineering.
Complexity.
Computer Appl. in Social and Behavioral Sciences.
Methodology of the Social Sciences.
Socio- and Econophysics, Population and Evolutionary Models.
Automotive Engineering.
QA76.9.M35
620
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.
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.
9783642366147
10.1007/978-3-642-36614-7 doi
Engineering.
Application software.
Sociophysics.
Econophysics.
Complexity, Computational.
Automotive engineering.
Social sciences.
Engineering.
Complexity.
Computer Appl. in Social and Behavioral Sciences.
Methodology of the Social Sciences.
Socio- and Econophysics, Population and Evolutionary Models.
Automotive Engineering.
QA76.9.M35
620