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The Crossmodal Congruency Task as a Means to Obtain an Objective Behavioral Measure in the Rubber Hand Illusion Paradigm
Published on: July 26, 2013
Crossmodal lifelong learning in hybrid neural embodied architectures
Stefan Wermter1, Sascha Griffiths1, Stefan Heinrich1
1Knowledge Technology Group,Department of Informatics,Universität Hamburg,Hamburg,Germany.wermter@informatik.uni-hamburg.degriffiths@informatik.uni-hamburg.deheinrich@informatik.uni-hamburg.dehttps://www.informatik.uni-hamburg.de/~wermter/https://www.informatik.uni-hamburg.de/~griffiths/https://www.informatik.uni-hamburg.de/~heinrich/.
Abstract:
Lake et al. point out that grounding learning in general principles of embodied perception and social cognition is the next step in advancing artificial intelligent machines. We suggest it is necessary to go further and consider lifelong learning, which includes developmental learning, focused on embodiment as applied in developmental robotics and neurorobotics, and crossmodal learning that facilitates integrating multiple senses.
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