Making sense of the sensory data - coordinate systems by hierarchical decomposition
Egri-Nagy, Attila and Nehaniv, C.L.
(2006)
Making sense of the sensory data - coordinate systems by hierarchical decomposition.
Lecture Notes in Computer Science (LNCS), 4253.
pp. 333-340.
ISSN 0302-9743
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.
Item Type | Article |
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Additional information | "The original publication is available at www.springerlink.com" Copyright Springer |
Date Deposited | 15 May 2025 12:09 |
Last Modified | 30 May 2025 23:45 |
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