Co-evolution of intelligent socio-technical systems : modelling and applications in large scale emergency and transport domains
Author(s)
Bibliographic Information
Co-evolution of intelligent socio-technical systems : modelling and applications in large scale emergency and transport domains
(Springer complexity)(Understanding complex systems / founding editor, J.A. Scott Kelso)
Springer, c2013
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references
Description and Table of Contents
Description
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.
Table of Contents
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.
by "Nielsen BookData"