Lingodroids: Cross-situational learning for episodic elements

Heath, Scott, Ball, David and Wiles, Janet (2016) Lingodroids: Cross-situational learning for episodic elements. IEEE Transactions on Cognitive and Developmental Systems, 8 1: 3-14. doi:10.1109/TAMD.2015.2442619

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Author Heath, Scott
Ball, David
Wiles, Janet
Title Lingodroids: Cross-situational learning for episodic elements
Journal name IEEE Transactions on Cognitive and Developmental Systems   Check publisher's open access policy
ISSN 2379-8920
Publication date 2016-03-11
Year available 2015
Sub-type Article (original research)
DOI 10.1109/TAMD.2015.2442619
Volume 8
Issue 1
Start page 3
End page 14
Total pages 12
Place of publication Piscataway, United States
Publisher Institute of Electrical and Electronics Engineers
Collection year 2016
Language eng
Formatted abstract
For robots to effectively bootstrap the acquisition of language, they must handle referential uncertainty-the problem of deciding what meaning to ascribe to a given word. Typically when socially grounding terms for space and time, the underlying sensor or representation was specified within the grammar of a conversation, which constrained language learning to words for innate features. In this paper, we demonstrate that cross-situational learning resolves the issues of referential uncertainty for bootstrapping a language for episodic space and time; therefore removing the need to specify the underlying sensors or representations a priori. The requirements for robots to be able to link words to their designated meanings are presented and analyzed within the Lingodroids-language learning robots-framework. We present a study that compares predetermined associations given a priori against unconstrained learning using cross-situational learning. This study investigates the long-term coherence, immediate usability and learning time for each condition. Results demonstrate that for unconstrained learning, the long-term coherence is unaffected, though at the cost of increased learning time and hence decreased immediate usability.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Information Technology and Electrical Engineering Publications
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Created: Fri, 06 May 2016, 13:24:54 EST by Scott Heath on behalf of School of Information Technol and Elec Engineering