Date of Original Version



Conference Proceeding

Rights Management

All Rights Reserved

Abstract or Description

People exhibit the ability to imagine new category instance s and new categories, with examples ranging from everyday activities like cooking to scientific discovery. This ability , which we call category generation , is not addressed by standard models of category learning, which focus on classifying instances rather than generating them. We develop a probabilistic ac- count of category generation and evaluate it using two behavioral experiments. Our results confirm that people find it natural to generate new category instances and suggest that our model accounts well for this ability.

Included in

Psychology Commons



Published In

Proceedings of the 31st Annual Conference of the Cognitive Science Society.