Johansen, Mark K. ORCID: https://orcid.org/0000-0001-6429-1976, Savage, Justin ORCID: https://orcid.org/0000-0002-5123-3475, Fouquet, Nathalie and Shanks, David R.
2015.
Salience not status: how category labels influence feature inference.
Cognitive Science
39
(7)
, pp. 1594-1621.
10.1111/cogs.12206
|
Preview |
PDF
- Accepted Post-Print Version
Download (1MB) | Preview |
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 is 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.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Psychology |
| Subjects: | B Philosophy. Psychology. Religion > BF Psychology |
| Publisher: | Wiley |
| ISSN: | 0364-0213 |
| Date of First Compliant Deposit: | 30 March 2016 |
| Date of Acceptance: | 23 July 2014 |
| Last Modified: | 17 Nov 2024 00:15 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/62590 |
Citation Data
Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
![]() |
Edit Item |





Dimensions
Dimensions