Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles

Lyon C, Nehaniv CL, Saunders J, Belpaeme T, Bisio A, Fischer K, Forster F, Lehmann H, Metta G, Mohan V, Morse A, et al. (2016)
International Journal of Advanced Robotic Systems 13: 105.

Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Zeitschriftenaufsatz | Veröffentlicht | Englisch
Autor
; ; ; ; ; ; ; ; ; ; ;
Alle
Abstract / Bemerkung
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.
Erscheinungsjahr
Zeitschriftentitel
International Journal of Advanced Robotic Systems
Band
13
Artikelnummer
105
ISSN
eISSN
PUB-ID

Zitieren

Lyon C, Nehaniv CL, Saunders J, et al. Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles. International Journal of Advanced Robotic Systems. 2016;13: 105.
Lyon, C., Nehaniv, C. L., Saunders, J., Belpaeme, T., Bisio, A., Fischer, K., Forster, F., et al. (2016). Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles. International Journal of Advanced Robotic Systems, 13, 105. doi:10.5772/63462
Lyon, C., Nehaniv, C. L., Saunders, J., Belpaeme, T., Bisio, A., Fischer, K., Forster, F., Lehmann, H., Metta, G., Mohan, V., et al. (2016). Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles. International Journal of Advanced Robotic Systems 13:105.
Lyon, C., et al., 2016. Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles. International Journal of Advanced Robotic Systems, 13: 105.
C. Lyon, et al., “Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles”, International Journal of Advanced Robotic Systems, vol. 13, 2016, : 105.
Lyon, C., Nehaniv, C.L., Saunders, J., Belpaeme, T., Bisio, A., Fischer, K., Forster, F., Lehmann, H., Metta, G., Mohan, V., Morse, A., Nolfi, S., Nori, F., Rohlfing, K., Sciutti, A., Tani, J., Tuci, E., Wrede, B., Zeschel, A., Cangelosi, A.: Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles. International Journal of Advanced Robotic Systems. 13, : 105 (2016).
Lyon, Caroline, Nehaniv, Chrystopher L., Saunders, Joe, Belpaeme, Tony, Bisio, Ambra, Fischer, Kerstin, Forster, 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, and Cangelosi, Angelo. “Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles”. International Journal of Advanced Robotic Systems 13 (2016): 105.