Learning in wubble world

Wesley Kerr, Shane Hoversten, Daniel Hewlett, Paul R Cohen, Yu Han Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Why do children master language so quickly and thoroughly, whereas gigabytes of text and enormously sophisticated learning algorithms produce at best shallow semantics in machines? Because children have help from competent speakers who relate language to what's happening in the child's environment. To facilitate the task of machine word learning, we developed a simulated environment, called "Wubble World," and populated it with entities called wubbles. Children interact with the wubbles using natural language, and act as teachers when the wubble needs help. This paper presents our word learning algorithms and provides some empirical results.

Original languageEnglish (US)
Title of host publication2007 IEEE 6th International Conference on Development and Learning, ICDL
Pages330-335
Number of pages6
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE 6th International Conference on Development and Learning, ICDL - London, United Kingdom
Duration: Jul 11 2007Jul 13 2007

Other

Other2007 IEEE 6th International Conference on Development and Learning, ICDL
CountryUnited Kingdom
CityLondon
Period7/11/077/13/07

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Keywords

  • Development
  • Language
  • Online learning
  • Semantics
  • Virtual environment

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

Cite this

Kerr, W., Hoversten, S., Hewlett, D., Cohen, P. R., & Chang, Y. H. (2007). Learning in wubble world. In 2007 IEEE 6th International Conference on Development and Learning, ICDL (pp. 330-335). [4354034] https://doi.org/10.1109/DEVLRN.2007.4354034