NDLI: Human-Robot Interaction in Concept Acquisition: a computational model

Content Provider	IEEE Xplore Digital Library
Author	de Greeff, J. Delaunay, F. Belpaeme, T.
Copyright Year	2009
Description	Author affiliation: School of Computing, Communications and Electronics, University of Plymouth, UK (de Greeff, J.; Delaunay, F.; Belpaeme, T.)
Abstract	This paper presents a discussion and simulation results which support the case for interaction during the acquisition of conceptual knowledge. Taking a developmental perspective, we first review a number of relevant insights on word-meaning acquisition in young children and specifically focus on concept learning supported by linguistic input. We present a computational model implementing a number of acquisition strategies, which enable a learning agent to actively steer the learning process. This is contrasted to a one way learning method, where the learner does not actively influence the learning experience. We present results demonstrating how dyadic interaction between a teacher and learner may result in a better acquisition of concepts.
Starting Page	1
Ending Page	6
File Size	258935
Page Count	6
File Format	PDF
ISBN	9781424441174
DOI	10.1109/DEVLRN.2009.5175532
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pediatrics human-robot interaction Computational modeling Humans Psychology Artificial neural networks Displays language games learning interaction Learning systems Supervised learning Machine learning Natural language processing concept acquisition
Content Type	Text
Resource Type	Article

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