Communication and Observation toward a Generic Natural Ontogeny for Intelligent Systems

As intelligent systems become ubiquitous, their acceptance as actors, resources or assistants in close interaction with humans will enhance the need for ways and means to ensure their dependability. One key necessity in that respect is to endow the machines, by analogy with humans, with abilities to acquire, derive and use abstract knowledge which are represented at the proper levels.

Acquisition/Synchronization
Calibration
Segmentation
Modeling
Tracking
Time segmentation of actions
Recognition of behaviors

References

Past event: The PRECARN - University LED project Workshop.