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A Connectionist Account of Ontological Boundary Shifting

  • Shohei Hidaka
  • Jun Saiki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3316)

Abstract

Previous research on children’s categorizations has suggested that children use perceptual and conceptual knowledge to generalize object names. In particular, the relation between ontological categories and linguistic categories appears to be a critical cue to learning object categories. However, the mechanism underlying this relation remains unclear. Here we propose a connectionist model for the acquisition of ontological knowledge by learning linguistic categories of entities. The results suggest that linguistic cues help children attend to specific perceptual properties.

Keywords

Category Learning Connectionist Model Ontological Category Word Learning Cognitive Science Society 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Shohei Hidaka
    • 1
  • Jun Saiki
    • 1
  1. 1.Department of Intelligence Science and Technology, Graduate School of InformaticsKyoto UniversityKyotoJapan

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