We re-analyzed thirty data sets reported in the literature and summarized by Smith and Minda (2000), based on Medin and Schaffer’s (1978) 5-4 structure. In their meta-analysis, Smith and Minda (2000) focused on comparing the prototype and the exemplar model. In our meta-analysis, we applied the varying abstraction model, a multiple-prototype model proposed by Vanpaemel, Storms, and Ons (2005), that reduces to the prototype and the exemplar model in special cases. While we found a lot of heterogeneity in the best performing model across data sets, overall, the exemplar model turned out to account for the data best. However, a slight modification of the exemplar model improved performance in one condition, while in another condition, a modi...
The multivariate theory of similarity discussed by Ennis (1988) entails the assumption that individu...
Analysis of the relative categorization accuracy of whole and partial items may provide deeper insig...
It is commonly believed that exemplar models have difficulty accounting for more accurate classifica...
We re-analyzed thirty data sets reported in the literature and summarized by Smith and Minda (2000),...
A model is proposed that elegantly unifies the tradi-tional exemplar and prototype models. These two...
The ability to learn categories and classify new items or experiences is an essential function for e...
Categorization in well-known natural concepts is studied using a special version of the Varying Abst...
Categorization in well-known natural concepts is studied using a special version of the Varying Abst...
In this paper we propose, instead of the traditional distinction between prototype and exemplar mode...
Exemplar and prototype accounts of categorization phenomena differ primarily in terms of the manner ...
Prototype and exemplar models form two extremes in a class of mixture model accounts of human catego...
Despite the success of exemplar models of representation, the general approach in the study of the r...
In the present study, GECLE (Matsuka, 2003) was used as a general modeling framework to systematical...
The goal of this research is to test the hypothesis that a category is not necessarily represented b...
A longstanding debate in the categorization literature concerns representational abstraction. Gener...
The multivariate theory of similarity discussed by Ennis (1988) entails the assumption that individu...
Analysis of the relative categorization accuracy of whole and partial items may provide deeper insig...
It is commonly believed that exemplar models have difficulty accounting for more accurate classifica...
We re-analyzed thirty data sets reported in the literature and summarized by Smith and Minda (2000),...
A model is proposed that elegantly unifies the tradi-tional exemplar and prototype models. These two...
The ability to learn categories and classify new items or experiences is an essential function for e...
Categorization in well-known natural concepts is studied using a special version of the Varying Abst...
Categorization in well-known natural concepts is studied using a special version of the Varying Abst...
In this paper we propose, instead of the traditional distinction between prototype and exemplar mode...
Exemplar and prototype accounts of categorization phenomena differ primarily in terms of the manner ...
Prototype and exemplar models form two extremes in a class of mixture model accounts of human catego...
Despite the success of exemplar models of representation, the general approach in the study of the r...
In the present study, GECLE (Matsuka, 2003) was used as a general modeling framework to systematical...
The goal of this research is to test the hypothesis that a category is not necessarily represented b...
A longstanding debate in the categorization literature concerns representational abstraction. Gener...
The multivariate theory of similarity discussed by Ennis (1988) entails the assumption that individu...
Analysis of the relative categorization accuracy of whole and partial items may provide deeper insig...
It is commonly believed that exemplar models have difficulty accounting for more accurate classifica...