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Salience Not Status: How Category Labels Influence Feature Inference
Author(s) -
Johansen Mark K.,
Savage Justin,
Fouquet Nathalie,
Shanks David R.
Publication year - 2015
Publication title -
cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
DOI - 10.1111/cogs.12206
Subject(s) - salience (neuroscience) , inference , mechanism (biology) , similarity (geometry) , cognitive psychology , feature (linguistics) , psychology , artificial intelligence , causal inference , categorization , computer science , mathematics , econometrics , epistemology , linguistics , image (mathematics) , philosophy
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.