A Varying Abstraction Model for Categorization
نویسندگان
چکیده
A model is proposed that elegantly unifies the traditional exemplar and prototype models. These two models are extreme cases of the proposed varying abstraction model. The unifying model further makes room for many new intermediate pseudo-exemplar models. A preliminary analysis using Medin and Schaffer’s (1978) 5-4 structure pointed to such an intermediate model that outperformed the prototype and exemplar models.
منابع مشابه
Explaining Categorization Response Times with Varying Abstraction
We use the Exemplar-Based Random-Walk model (EBRW) to extend the Varying Abstraction Model (VAM). Unlike the VAM which is designed to account for categorization proportions, this Varying Abstraction-Based Random-Walk (VABRW) model is able to predict categorization response times. The extension is especially useful in situations where response accuracies are not very informative for distinguishi...
متن کاملBeyond exemplars and prototypes as memory representations of natural concepts: A clustering approach
Categorization in well-known natural concepts is studied using a special version of the Varying Abstraction Framework (Vanpaemel, W., & Storms, G. (2006). A varying abstraction framework for categorization. Manuscript submitted for publication; Vanpaemel, W., Storms, G., & Ons, B. (2005). A varying abstraction model for categorization. In B. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedin...
متن کاملDynamic Construction and Re nement of Utility-Based Categorization Models
The actions taken by an automated decision-making agent can be enhanced by including mechanisms that enable the agent to categorize concepts e ectively. We pose a utility-based approach to categorization based on the idea that categorization should be carried out in the service of action. The choice of concepts made by a decision maker is critical in the e ective selection of actions under reso...
متن کاملProbabilistic Conceptual Network: A Belief Representation Scheme for Utility-Based Categorization
Probabilistic conceptual network is a knowl edge representation scheme designed for reasoning about concepts and categorical abstractions in utility-based categorization. The scheme combines the formalisms of ab straction and inheritance hierarchies from artificial intelligence, and probabilistic net works from decision analysis. It provides a common framework for representing con ceptual k...
متن کاملYet Another Look at Thirty Categorization Results
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), ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005