Co-Evolution of Intelligent Socio-Technical Systems: Modelling and Applications in Large Scale Emergency and Transport Domains

ISBN-13: 9783642438653 / Angielski / Miękka / 2015 / 293 str.

Evangelia Mitleton-Kelly

Opis

Based on findings of the Socionical research network, this book examines two domains of applications: transport, specifically traffic, dynamics from the viewpoint of a socio-technical interaction and evacuation scenarios for large-scale emergency situations.

Spis treści

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.

Blurb

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.