No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
You must be logged in to use this functionality
Rules and similarity are at the heart of our understanding of human categorization. However, it is difficult to distinguish their role as both determinants of categorization are confounded in many real situations. Rules are based on a number of identical properties between objects but these correspondences also make objects appearing more similar. Here, we introduced a stimulus set where rules and similarity were unconfounded and we let participants generalize category examples towards new instances. We also introduced a method based on the frequency distribution of the formed partitions in the stimulus sets, which allowed us to verify the role of rules and similarity in categorization. Our evaluation favoured the rule-based account. The most preferred rules were the simplest ones and they consisted of recurrent visual properties (regularities) in the stimulus set. Additionally, we created different variants of the same stimulus set and tested the moderating influence of small changes in appearance of the stimulus material. A conceptual manipulation (Experiment 1) had no influence but all visual manipulations (Experiment 2 and 3) had strong influences in participants’ reliance on particular rules, indicating that prior beliefs of category defining rules are rather flexible.
Full text loading...
Abecassis M. , Sera M. D. , Yonas A. , Schwade J. ( 2001). "What’s in a shape? Children represent shape variability differently than adults when naming objects", J. Exper. Child Psychol. Vol 78, 213– 239. http://dx.doi.org/10.1006/jecp.2000.2573
Aitkin C. D. , Feldman J. ( 2006). Subjective complexity of categories over three-valued features, in: Proc. 28th Ann. Conf. Cognit. Sci. Soc., pp. 961–966. Lawrence Erlbaum, Mahwah, NJ, USA.
Barsalou L. W. ( 1985). "Ideals, central tendency, and frequency of instantiation as determinants of graded structure in category", J. Exper. Psychol., Learning, Memory Cognition Vol 11, 629– 654. http://dx.doi.org/10.1037/0278-7393.11.1-4.629
Bennett B. , Hoffman D. , Prakash K. ( 1989). Observer Mechanics: A Formal Theory of Perception. Academic Press, New York, USA.
Bhatt R. S. , Hayden A. , Reed A. , Bertin E. , Joseph J. ( 2006). "Infants’ perception of information along object boundaries: concavities versusconvexities", J. Exper. Child Psychol. Vol 94, 91– 113. http://dx.doi.org/10.1016/j.jecp.2006.01.002
De Winter J. , Wagemans J. ( 2008). "Perceptual saliency of points along the contour of everyday objects: a large-scale study", Percept. Psychophys. Vol 70, 50– 64. http://dx.doi.org/10.3758/PP.70.1.50
Edelman S. ( 1999). Representation and Recognition in Vision. MIT Press/Bradford Books, Cambridge, MA, USA.
Goodman N. D. , Tenenbaum J. B. , Griffiths T. L. , Feldman J. ( 2008). "Compositionality in rational analysis: grammar-based induction for concept learning", in: The Probabilistic Mind: Prospects for Bayesian Cognitive Science, Chater N. , Oaksford M. (Eds), pp. 377– 406. Oxford University Press, Oxford, UK. http://dx.doi.org/10.1093/acprof:oso/9780199216093.003.0017
Hulleman J. , Boselie F. ( 1999). "Perceived shape regularity does not depend on regularities along the contour", Perception Vol 28, 711– 724. http://dx.doi.org/10.1068/p2839
Kanizsa G. ( 1979). Organization in Vision: Essays on Gestalt Perception. Praeger Publishers, New York, USA.
Keane S. K. , Hayward W. G. , Burke D. ( 2003). "Detection of three types of changes to novel objects", Visual Cognition Vol 10, 101– 127. http://dx.doi.org/10.1080/713756672
Lee M. D. , Navarro D. L. ( 2002). "Extending the ALCOVE model of category learning to featural stimulus domains", Psychonomic Bull. Rev. Vol 9, 43– 58. http://dx.doi.org/10.3758/BF03196256
Leeuwenberg E. L. J. ( 1971). "A perceptual coding language for visual and auditory patterns", Amer. J. Psychol. Vol 84, 307– 349. http://dx.doi.org/10.2307/1420464
Leyton M. ( 1989). "Inferring causal history from shape", Cognit. Sci. Vol 13, 357– 387.
Ons B. , Wagemans J. ( 2011). "Development of differential sensitivity for shape changes resulting from linear and nonlinear planar transformations", i-Perception .
Ons B. , De Baene W. , Wagemans J. ( 2011). "Subjectively interpreted shape dimensions as privileged and orthogonal axes in mental shape space", J. Exper. Psychol.: Human Percept. Perform. Vol 37, 422– 441. http://dx.doi.org/10.1037/a0020405
Pothos E. M. , Chater N. ( 2001). "Categorization by simplicity: a minimum description length approach to unsupervised clustering", in: Similarity and Categorization, Hahn U. , Ramscar M. (Eds), pp. 51– 72. Oxford University Press, Oxford, UK. http://dx.doi.org/10.1093/acprof:oso/9780198506287.003.0004
Quinn P. C. , Eimas P. D. ( 1996). "Perceptual organization and categorization in young infants", in: Advances in Infancy Research, Vol Vol. 10, Rovee-Collier C. , Lipsitt L. P. (Eds), pp. 1– 36. Ablex, Norwood, NJ, USA.
Rips L. J. ( 1989). "Similarity, typicality, and categorization", in: Similarity and Analogical Reasoning, Vosniadou S. , Ortony A. (Eds), pp. 21– 59. Cambridge University Press, Cambridge, UK. http://dx.doi.org/10.1017/CBO9780511529863.004
Vanpaemel W. , Storms G. , Ons B. ( 2005). A varying abstraction model for categorization, in: Proc. 27th Ann. Conf. Cognit. Sci. Soc., pp. 2277–2282. Lawrence Erlbaum, Mahwah, NJ, USA.
Wagemans J. , Van Gool L. , d’Ydewalle G. ( 1991). "Detection of symmetry in tachistoscopically presented dot patterns: effects of multiple axes and skewing", Percept. Psychophys. Vol 50, 413– 427. http://dx.doi.org/10.3758/BF03205058
Zusne L. ( 1970). Visual Perception of Form. Academic Press, New York, USA.