Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles

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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
Publisher
INTECH EUROPE
Issue Date
2016-05
Language
English
Article Type
Article
Keywords

HUMANOID ROBOT; MOTOR CONTROL; MODEL; FRAMEWORK; INFANTS; SPEECH; TIME; PERSPECTIVE; NETWORKS; SYSTEM

Citation

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, v.13

ISSN
1729-8806
DOI
10.5772/63462
URI
http://hdl.handle.net/10203/210183
Appears in Collection
EE-Journal Papers(저널논문)
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