The effect of training methodology on knowledge representation in categorization.

ABSTRACT: Category representations can be broadly classified as containing within-category information or between-category information. Although such representational differences can have a profound impact on decision-making, relatively little is known about the factors contributing to the development and generalizability of different types of category representations. These issues are addressed by investigating the impact of training methodology and category structures using a traditional empirical approach as well as the novel adaptation of computational modeling techniques from the machine learning literature. Experiment 1 focused on rule-based (RB) category structures thought to promote between-category representations. Participants learned two sets of two categories during training and were sub

SUBMITTER: Helie S 

PROVIDER: S-EPMC5573135 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature