Making sense of the sensory data: coordinate systems by hierarchical decomposition

Authors:
Attila Egri-Nagy;Chrystopher L. Nehaniv
Affiliations:
BioComputation Research Group, School of Computer Science, University of Hertfordshire, Hertfordshire, United Kingdom;BioComputation Research Group, School of Computer Science, University of Hertfordshire, Hertfordshire, United Kingdom
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2006

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Abstract

Having the right sensory channels is an important ingredient for building an autonomous agent, but we still have the problem of making sense of the sensory data for the agent. This is the basic problem of artificial intelligence. Here we propose an algebraic method for generating abstract coordinate system representations of the environment based on the agent's actions. These internal representations can be refined and regenerated during the lifespan of the agent.