Co-evolution of Intelligent Socio-technical Systems
Modelling and Applications in Large Scale Emergency and Transport Domains
Nonfiction, Computers, Database Management, Data Processing, Science & Nature, Technology, Reference & Language, Reference
| Author: | ISBN: | 9783642366147 | |
| Publisher: | Springer Berlin Heidelberg | Publication: | May 27, 2013 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9783642366147 |
| Publisher: | Springer Berlin Heidelberg |
| Publication: | May 27, 2013 |
| Imprint: | Springer |
| Language: | English |
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.
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.
