Different Levels of Time for Artificial Models and Biological Mechanisms

Frédéric Alexandre 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Our team is working on the modeling of biologically inspired artificial neural networks. These models are derived from existing models in theoretical biology or built from collaborations with neuroscientists. They are used to endow robots with different cognitive capacities related to autonomous behavior, like perception, sensorimotor coordination, exploration, planning, reasoning, and other tasks linked to memory and internal representation building. As engineers, we have to adapt these models to have them effective on real robots and real tasks. The most difficult aspect in this task is to integrate different models designed for different cognitive aspects like for example feature extraction and planning. To do so, we have to wonder about the levels of time involved in behavioral schemes and to integrate the corresponding models accordingly. Now, as a feedback to biology, we propose to discuss these levels of time and to relate them first to biological mechanisms and second to fundamental properties like information coding, learning, planning, motivation.
Type de document :
Communication dans un congrès
T. Prescott and B. Webb. 7th International Conference on Simulation of Adaptive Behavior - SAB'02, Aug 2002, Edinburgh UK, 1 p, 2002
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Soumis le : mardi 26 septembre 2006 - 14:51:03
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00100793, version 1

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Frédéric Alexandre. Different Levels of Time for Artificial Models and Biological Mechanisms. T. Prescott and B. Webb. 7th International Conference on Simulation of Adaptive Behavior - SAB'02, Aug 2002, Edinburgh UK, 1 p, 2002. 〈inria-00100793〉

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