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

Attila Egri-Nagy; C.L. Nehaniv

doi:10.1007/11893011_43

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

Attila Egri-Nagy, C.L. Nehaniv

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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.

Original language	English
Pages (from-to)	333-340
Journal	Lecture Notes in Computer Science (LNCS)
Volume	4253
DOIs	https://doi.org/10.1007/11893011_43
Publication status	Published - 2006

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10.1007/11893011_43

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The original publication is available at www.springerlink.com
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JO - Lecture Notes in Computer Science (LNCS)

JF - Lecture Notes in Computer Science (LNCS)

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

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