Detecting intra- and inter-categorical structure in semantic concepts using HICLAS.

@article{Ceulemans2010DetectingIA,
  title={Detecting intra- and inter-categorical structure in semantic concepts using HICLAS.},
  author={Eva Ceulemans and Gert Storms},
  journal={Acta psychologica},
  year={2010},
  volume={133 3},
  pages={296-304}
}
In this paper, we investigate the hypothesis that people use feature correlations to detect inter- and intra-categorical structure. More specifically, we study whether it is plausible that people strategically look for a particular type of feature co-occurrence that can be represented in terms of rectangular patterns of 1s and 0s in a binary feature by exemplar matrix. Analyzing data from the Animal and Artifact domains, we show that the HICLAS model, which looks for such rectangular structure… CONTINUE READING