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Updated: Feb 15, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Social-motor experience and perception-action learning bring efficiency to machines
Ludovic Marin1, Ghiles Mostafaoui2
1EuroMov Laboratory,University of Montpellier,Montpellier,France.ludovic.marin@umontpellier.frhttp://euromov.eu/team/ludovic-marin/.
Abstract:
Lake et al. proposed a way to build machines that learn as fast as people do. This can be possible only if machines follow the human processes: the perception-action loop. People perceive and act to understand new objects or to promote specific behavior to their partners. In return, the object/person provides information that induces another reaction, and so on.
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