The Small Loop Problem: A Challenge for Artificial Emergent Cognition

Olivier Georgeon 1 James Marshall
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : We propose the Small Loop Problem as a challenge for biologically inspired cognitive architectures. This challenge consists of designing an agent that would autonomously organize its behavior through interaction with an initially unknown environment that offers basic sequential and spatial regularities. The Small Loop Problem demonstrates four principles that we consider crucial to the implementation of emergent cognition: environment-agnosticism, self-motivation, sequential regularity learning, and spatial regularity learning. While this problem is still unsolved, we report partial solutions that suggest that its resolution is realistic.
Type de document :
Communication dans un congrès
Biologically Inspired Cognitive Architectures, Oct 2012, Palermo, Italy. Springer, pp.137-144, 2012, <10.1007/978-3-642-34274-5_27>
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https://hal.archives-ouvertes.fr/hal-01353104
Contributeur : Équipe Gestionnaire Des Publications Si Liris <>
Soumis le : mercredi 10 août 2016 - 16:22:42
Dernière modification le : jeudi 11 août 2016 - 01:04:19

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Olivier Georgeon, James Marshall. The Small Loop Problem: A Challenge for Artificial Emergent Cognition. Biologically Inspired Cognitive Architectures, Oct 2012, Palermo, Italy. Springer, pp.137-144, 2012, <10.1007/978-3-642-34274-5_27>. <hal-01353104>

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