Warning: The Exemplars in Your Category Representation May Not Be the Ones Experienced During Learning

AbstractResearch on categorization and classification learning has greatly benefited from the use of computational modeling which requires making all theoretical assumptions explicit and provides a direct means of theory evaluation by fitting behavioral data. The field has advanced notably through model comparison relative to benchmark data on human category learning performance. Exemplar theory has become a leading psychological explanation largely due to the success of its formal models in fitting human data across a number of tasks (Kruschke, 1992; Nosofsky & Palmeri, 1997).

Return to previous page