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Si vous cherchez un document écrit en français et qui décrit
nos travaux: Comment les robots construisent leur monde
Generating plausible models for the processes underlying children’s development in the first years of their life is a challenging scientific issue at the crossroads of neuroscience, learning theories and developmental psychology. Children seem to acquire new know-how in a continuous and open-ended manner. A large amount of work describes how new skills seem to build one upon another, suggesting a continuum between sensory-motor development and higher cognitive functions. But very few plausible low-level mechanisms exist to explain how such skills emerge or self-organize.
Studying development is intrinsically difficult because of the complex interplay between embodiment, learning mechanisms and environmental dynamics. A relevant integrative approach can be pursued by viewing development as a complex system the dynamics of which can be studied with embodied models. In order to capture part of the open-ended nature that characterizes children’s development, we design new biologically-inspired architectures to control autonomous robots. In particular, we conduct research on motivational principles that can drive a robot to continuously try to master new know-how. The aim is to construct engines implementing such general capacities as "curiosity", thus producing generic attention mechanisms with a minimum of preprogrammed biases.
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