Hybrid architecture for the sensorimotor representation of spatial configurations
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We investigate the hypothesis that the main representation which underlies human navigation is not static and map-like, but rather is of an inherently sensorimotor nature, i.e. results from a combination of sensory features and motor actions. This is suggested by recent psychological and neurobiological results, and receives further support from an own study of human navigation in manipulated virtual reality environments. To investigate the presumed sensorimotor representation we design a hybrid architecture which integrates a bottom-up processing of sensorimotor features with a top-down reasoning that is based on the principle of maximum information gain. This architecture is implemented in an agent that operates in a VR environment and is able to use a minimum number of exploratory actions to orient itself within this environment.
KeywordsSensorimotor representation Information maximization Navigation
Study supported by DFG SFB TR 8 “Spatial Cognition”.
- Gibson JJ (1979) The ecological approach to visual perception. Houghton Mifflin, BostonGoogle Scholar
- Prinz W (1990) A common coding approach to perception and action. In: Neumann O, Prinz W (eds) Relationships between perception and action: Current approaches. Springer, Berlin Heidelberg New York , pp 167–203Google Scholar
- Shafer G (1976) A mathematical theory of evidence. Princeton University Press, PrincetonGoogle Scholar
- Tversky B (1993) Cognitive maps, cognitive collages, and spatial mental models. In: Frank AU, Campari I (eds) Spatial information theory: a theoretical basis for GIS. Lecture Notes in Computer Science, vol 716. Springer, Berlin Heidelberg New York, pp 14–24Google Scholar