Work

Feature Relations and Feature Salience in Natural Categories

Year: 2007

Type: article

Abstract: Feature salience is a poorly understood construct in the study of category knowledge.Independent-feature representations are limited in potential explanations, compared to more complex structured representations.We explore the relationship between features' connectivity in a network of relational knowledge and those features' relative salience, along with their potential for inference.Comparing values of individual features, we illustrate a unique relationship between features' salience, inferential potency, and structural connectivity.We argue that these results provide evidence for the explanatory power of structured representation beyond independent-feature representation.

Source: eScholarship (California Digital Library)

Authors: Johnathan R. Rein, Bradley C. Love, Arthur B. Markman

Institution: The University of Texas at Austin

Language: English

Topic: Categorization, perception, and language

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

Funders: National Science Foundation, Air Force Office of Scientific Research

Awards: G1523888516, G2156078568, CAREER: Flexible Learning Inside and Outside the Classroom, G5169579234, G6671297155

OpenAlex ID: W2580972828

FWCI: 1.286

Cites: 31

Cited by: 6

Related to: 10