Main topic of this talk is Fusion of Real and Virtual worlds creating Augmented Virtuality by using Mobile Agents!
Socio-technical systems are characterized by interactions of:
The simulation of social ensemble behaviour requires simplification of interactions and individual behaviour
Commonly simulations are performed with less than 1000 entities (humans, machines, ..) in a sandbox world
Agent-based Modelling (ABM) is a suitable behaviour model for simulation
Data Mining and Machine Learning are important tools to derive meaningful information from experimental and aggregated data.
Taxonomy of Data Mining
Crowd data can be used in field studies to extend the information data base or replace classical (survey) field studies
Mobile Crowd Sensing combines aggregation of user data and mobile computing, i.e., creating spatially annotated data traces
Among data supplied by users explicitly, sensor data of mobile devices can be used, too. But: Weakly correlated data!