Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 6 of 18
Back to Result List

Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles

  • 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.

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Arne Zeschel, Caroline Lyon, Chrystopher L. Nehaniv, Joe Saunders, Tony Belpaeme, Ambra Bisio, Kerstin Fischer, Frank Förster, Hagen Lehmann, Giorgio Metta, Vishwanathan Mohan, Anthony Morse, Stefano Nolfi, Francesco Nori, Katharina Rohlfing, Alessandra Sciutti, Jun Tani, Elio Tuci, Britta Wrede, Angelo Cangelosi
URN:urn:nbn:de:bsz:mh39-65489
DOI:https://doi.org/10.5772/63462
ISSN:1729-8814
Parent Title (English):International Journal of Advanced Robotic Systems
Publisher:Sage
Place of publication:Thousand Oaks
Document Type:Article
Language:English
Year of first Publication:2016
Date of Publication (online):2017/10/13
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
Tag:Cognitive Bootstrapping; Developmental Robotics; Human Robot Interaction (HRI); Robot Language; Statistical Learning
GND Keyword:Kind / Sprachentwicklung; Kognitive Entwicklung; Künstliche Intelligenz; Robotik; Spracherwerb
Volume:13
Issue:3
First Page:1
Last Page:22
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
BDSL-Classification:Sprache im 20. Jahrhundert. Gegenwartssprache
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Linguistics-Classification:Psycholinguistik / Kognitive Linguistik
Licence (English):License LogoCreative Commons - Attribution 3.0 Unported