Categorization of novel stimuli in well-known natural concepts: A case study

In this study, we investigated to what extent exemplar-based and prototype predictors can be applied to predicting categorization in natural language concepts. Participants categorized novel tropical foods into two well-known natural language concepts: fruits and vegetables. The results indicate tha t both the prototype predictors and the exemplar predictors contribute sign ificantly in accounting for the categorization choices but that the contrib ution of the prototype predictor comes from just a limited number of featur es.