Literature DB >> 25430964

Salience Not Status: How Category Labels Influence Feature Inference.

Mark K Johansen1, Justin Savage1, Nathalie Fouquet2, David R Shanks3.   

Abstract

Two main uses of categories are classification and feature inference, and category labels have been widely shown to play a dominant role in feature inference. However, the nature of this influence remains unclear, and we evaluate two contrasting hypotheses formalized as mathematical models: the label special-mechanism hypothesis and the label super-salience hypothesis. The special-mechanism hypothesis is that category labels, unlike other features, trigger inference decision making in reference to the category prototypes. This results in a tendency for prototype-compatible inferences because the labels trigger a special mechanism rather than because of any influences they have on similarity evaluation. The super-salience hypothesis assumes that the large label influence is due to their high salience and corresponding impact on similarity without any need for a special mechanism. Application of the two models to a feature inference task based on a family resemblance category structure yields strong support for the label super-salience hypothesis and in particular does not support the need for a special mechanism based on prototypes.
Copyright © 2014 Cognitive Science Society, Inc.

Keywords:  Classification; Concepts; Decision making; Feature inference

Mesh:

Year:  2014        PMID: 25430964     DOI: 10.1111/cogs.12206

Source DB:  PubMed          Journal:  Cogn Sci        ISSN: 0364-0213


  2 in total

1.  Comparing methods of category learning: Classification versus feature inference.

Authors:  Emma L Morgan; Mark K Johansen
Journal:  Mem Cognit       Date:  2020-07

2.  Premise typicality as feature inference decision-making in perceptual categories.

Authors:  Emma L Morgan; Mark K Johansen
Journal:  Mem Cognit       Date:  2021-10-08
  2 in total

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