Most cognitive architectures rely on discrete representation, both in space
(e.g., objects) and in time (e.g., events). However, a robot interaction with
the world is inherently continuous, both in space and in time. The segmentation
of the stream of perceptual inputs a robot receives into discrete and
meaningful events poses as a challenge in bridging the gap between internal
cognitive representations, and the external world.