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        Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles

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        Author
        Lyon, Caroline
        Nehaniv, Chrystopher
        Saunders, Joe
        Belpaeme, Tony
        Bisio, Ambra
        Fischer, Kerstin
        Foerster, Frank
        Lehmann, Hagen
        Metta, Giorgio
        Mohan, Vishwanathan
        Morse, Anthony
        Nolfi, Stefano
        Nori, Francesco
        Rohlfing, Katharina
        Sciutti, Alessandra
        Tani, Jun
        Tuci, Elio
        Wrede, Britta
        Zeschel, Arne
        Cangelosi, Angelo
        Attention
        2299/17419
        Abstract
        Co-development of action, conceptualization and social interaction mutually scaffold and support each other within a virtuous feedback cycle in the development of human language in children. Within this framework, the purpose of this article is to bring together diverse but complementary accounts of research methods that jointly contribute to our understanding of cognitive development and in particular, language acquisition in robots. Thus, we include research pertaining to developmental robotics, cognitive science, psychology, linguistics and neuroscience, as well as practical computer science and engineering. The different studies are not at this stage all connected into a cohesive whole; rather, they are presented to illuminate the need for multiple different approaches that complement each other in the pursuit of understanding cognitive development in robots. Extensive experiments involving the humanoid robot iCub are reported, while human learning relevant to developmental robotics has also contributed useful results. Disparate approaches are brought together via common underlying design principles. Without claiming to model human language acquisition directly, we are nonetheless inspired by analogous development in humans and consequently, our investigations include the parallel co-development of action, conceptualization and social interaction. Though these different approaches need to ultimately be integrated into a coherent, unified body of knowledge, progress is currently also being made by pursuing individual methods.
        Publication date
        2016-05-31
        Published in
        International Journal of Advanced Robotic Systems
        Published version
        https://doi.org/10.5772/63462
        Other links
        http://hdl.handle.net/2299/17419
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