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dc:title "HTML Summary of #4961 \n\nFrom motor babbling to hierarchical learning by imitation: a robot developmental pathway\n\n";
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bibo:abstract "How does an individual use the knowledge\nacquired through self exploration as a manipulable model through which to understand\nothers and benefit from their knowledge?\nHow can developmental and social learning be\ncombined for their mutual benefit? In this\npaper we review a hierarchical architecture\n(HAMMER) which allows a principled way\nfor combining knowledge through exploration\nand knowledge from others, through the creation and use of multiple inverse and forward\nmodels. We describe how Bayesian Belief Networks can be used to learn the association\nbetween a robot’s motor commands and sensory consequences (forward models), and how\nthe inverse association can be used for imitation. Inverse models created through self\nexploration, as well as those from observing\nothers can coexist and compete in a principled unified framework, that utilises the simulation theory of mind approach to mentally\nrehearse and understand the actions of others."^^xsd:string;
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