@misc{cogprints3343,
          volume = {101},
          editor = {Christopher G. Prince and Luc Berthouze and Hideki Kozima and Daniel Bullock and Georgi Stojanov and Christian Balkenius},
           title = {A Developmental Approach for low-level Imitations},
          author = {Pierre Andry and Philippe Gaussier and Jacqueline Nadel and Michele Courant},
       publisher = {Lund University Cognitive Studies},
            year = {2003},
           pages = {157--158},
        keywords = {imitative artificial system, developing system, self-organizing map, robotic movement control},
             url = {http://cogprints.org/3343/},
        abstract = {Historically, a lot of authors in psychology and in
robotics tend to separate "true imitation" and its
related high-level mechanisms which seem to be exclusive to human adult, from low-level imitations or
"mimicries" observed on babies or primates. Closely,
classical researches suppose that an imitative artificial system must be able to build a model of
the demonstrator's geometry, in order to reproduce finely the movements on each joints. Conversely, we
will advocate that if imitation is viewed as a part of a
developmental course, then (1) an artificial developing system does not need to build any internal model
of the other, to perform real-time and low-level imitations of human movements despite the related correspondence problem between man and robot and,
(2) a simple sensory-motor loop could be at the basis
of multiples heterogeneous imitative behaviors often
explained in the literature by different models.}
}

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