Environmentally mediated synergy between perception and behaviour in mobile robots.
The notion that behaviour influences perception seems self-evident, but the mechanism of their interaction is not known. Perception and behaviour are usually considered to be separate processes. In this view, perceptual learning constructs compact representations of sensory events, reflecting their statistical properties, independently of behavioural relevance. Behavioural learning, however, forms associations between perception and action, organized by reinforcement, without regard for the construction of perception. It is generally assumed that the interaction between these two processes is internal to the agent, and can be explained solely in terms of the neuronal substrate. Here we show, instead, that perception and behaviour can interact synergistically via the environment. Using simulated and real mobile robots, we demonstrate that perceptual learning directly supports behavioural learning and so promotes a progressive structuring of behaviour. This structuring leads to a systematic bias in input sampling, which directly affects the organization of the perceptual system. This external, environmentally mediated feedback matches the perceptual system to the emerging behavioural structure, so that the behaviour is stabilized.
Verschure
Paul F M J
PF
Institute of Neuroinformatics, University/Swiss Federal Institute of Technology (ETH) Zürich, CH-8057 Zürich, Switzerland. pfmjv@ini.phys.ethz.ch
Voegtlin
Thomas
T
Douglas
Rodney J
RJ
D000222:Adaptation, Physiological; D001519:Behavior / Q000502:physiology; D019277:Entropy; D004777:Environment; D005246:Feedback; D007858:Learning / Q000502:physiology; D008959:Models, Neurological; D010465:Perception / Q000502:physiology; D012371:Robotics