Coherent category training enhances generalization in prototype-based categories.

ABSTRACT: A major question for the study of learning and memory is how to tailor learning experiences to promote knowledge that generalizes to new situations. In two experiments, we used category learning as a representative domain to test two factors thought to influence the acquisition of conceptual knowledge: the number of training examples (set size) and the similarity of training examples to the category average (set coherence). Across participants, size and coherence of category training sets were varied in a fully crossed design. After training, participants demonstrated the breadth of their category knowledge by categorizing novel examples varying in their distance from the category center. Results showed better generalization following more coherent training sets, even when categorizing ite

SUBMITTER: Bowman CR 

PROVIDER: S-EPMC11034797 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature