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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
Published on: November 2, 2012
The role of category coherence in experience-based prediction
Andrea L Patalano1, Brian H Ross
1Dept. of Psychology, Wesleyan University, Middletown, Connecticut 06459, USA. apatalano@wesleyan.edu
Psychonomic Bulletin & Review
|November 2, 2007
Summary
Category coherence influences inductive reasoning. Higher coherence aids inferences to category members but hinders them to the general population, especially with limited data.
Area of Science:
- Cognitive Psychology
- Social Cognition
- Concept Learning
Background:
- Inductive inference relies on both general category knowledge and specific instance data.
- Understanding how these two sources interact is crucial for explaining concept learning.
Purpose of the Study:
- To investigate the influence of category coherence on inductive property inductions.
- To examine how category knowledge affects inferences to both members and non-members of a category.
Main Methods:
- Three experiments were conducted using natural social categories.
- Participants made property inductions based on category instances and prior knowledge.
- The impact of category coherence and sample size was analyzed.
Main Results:
- Category coherence positively influenced inductions to new category members.
- Category coherence negatively influenced inductions to the general population.
- The effect of coherence was more pronounced with smaller instance samples.
Conclusions:
- Category coherence plays a significant role in inductive reasoning, modulating inferences differently for within-category and population-level generalizations.
- Findings support both similarity-based and explanation-based accounts of concept learning.
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