Neural learning of embodied interaction dynamics

12 years 9 months ago
Neural learning of embodied interaction dynamics
This paper presents our approach towards realizing a robot which can bootstrap itself towards higher complexity through embodied interaction dynamics with the environment including other agents. First, the elements of interaction dynamics are extracted from conceptual analysis of embodied interaction and its emergence, especially, of behavioral imitation. Then three case studies are made, presenting our neural architecture and the robotic experiments on some of the important elements discussed above: Self exploration and entrainment, emergent coordination, and categorizing self behavior. Finally we propose that integrating all these elements will be the important step towards realizing the bootstrapping agent envisaged above.
Yasuo Kuniyoshi, Luc Berthouze
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 1998
Where NN
Authors Yasuo Kuniyoshi, Luc Berthouze
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