<p><p>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-ev
Co-evolution of Intelligent Socio-technical Systems
โ Scribed by Eve Mitleton-Kelly
- Publisher
- Springer
- Year
- 2013
- Tongue
- English
- Leaves
- 289
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
๐ SIMILAR VOLUMES
Applies ideas and methods from the complexity perspective to key concerns in the social sciences, exploring co-evolutionary processes.
This important book addresses how long term and large scale shifts from one socio-technical system to another come about, using insights from evolutionary economics, sociology of technology and innovation studies. These major changes involve not just technological changes, but also changes in market
<p><p>Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how c
Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the