Thierry Viéville @ Inria
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Thierry Viéville <Thierry.Vieville@inria.fr> icons/smiley-cool.png
Tel: + 33 6 13 28 64 59 / + 33 4 92 38 76 88
792 Chemin des Rastines, 06600 Antibes
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Artificial Intelligence Devoted to Education : Better Understand Human Learning.
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Researcher, i produce scientific papers, at the Inria institute, working within the Mnemosyne project team and also within the LINE laboratory.
I also help Inria regarding scientific outreach and contribute to educational science research on related subjects.
Nowadays, we explore to what extent approaches or methods from cognitive neuroscience, linked to machine learning and knowledge representation, could help to better formalize human learning.
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Computational Neuroscience and Adaptive Mechanisms.
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My research program is based on the assumption that for biological or artificial systems, the capabilities and performances of perceptual mechanisms are improved by the use of parameteric adaptive mechanisms.
The goal of this program is to experimentally assert this assumption, with modeling and numeric simulations.
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