Learning new categories for natural objects
People learn new categories on a daily basis, and the study of category learning is a major
topic of research in cognitive science. However, most prior work has focused on how people …
topic of research in cognitive science. However, most prior work has focused on how people …
[PDF][PDF] Effects of generative and discriminative learning on use of category variability
A Hsu, T Griffiths - Proceedings of the Annual Meeting of the …, 2010 - escholarship.org
Abstract Models of category learning can take two different approaches to representing the
relationship between objects and categories. The generative approach solves the …
relationship between objects and categories. The generative approach solves the …
The construction of perceptual and semantic features during category learning
RL Goldstone, BJ Rogosky, R Pevtzow… - Handbook of categorization …, 2017 - Elsevier
Category learning not only depends upon perceptual and semantic representations; it also
leads to the generation of these representations. We describe two series of experiments that …
leads to the generation of these representations. We describe two series of experiments that …
Learning categories by making predictions: An investigation of indirect category learning
JP Minda, BH Ross - Memory & cognition, 2004 - Springer
Categories are learned in many ways, but studies of category learning have generally
focused on classification learning. This focus may limit the understanding of categorization …
focused on classification learning. This focus may limit the understanding of categorization …
[PDF][PDF] Models of Human Category Learning: Do they Generalize?
Generalization to new examples is an essential aspect of categorization. However, recent
category learning research has not focused on how people generalize their category …
category learning research has not focused on how people generalize their category …
Perceptual and semantic reorganization during category learning
RL GOLDSTONE, BJ ROGOSKY, R PEVTZOW… - … of categorization in …, 2005 - Elsevier
Category learning not only depends upon perceptual and semantic representations; it also
leads to the generation of these representations. We describe two series of experiments that …
leads to the generation of these representations. We describe two series of experiments that …
Category learning
JK Kruschke - The handbook of cognition, 2005 - torrossa.com
JOHN K. KRUSCHKE dozens of exposures. It could also be disastrous if the learning about
poisonous mushrooms erased still-valid knowledge about edible mushrooms (French, 1999; …
poisonous mushrooms erased still-valid knowledge about edible mushrooms (French, 1999; …
Food for thought: Cross-classification and category organization in a complex real-world domain
BH Ross, GL Murphy - Cognitive psychology, 1999 - Elsevier
Seven studies examined how people represent, access, and make inferences about a rich
real-world category domain, foods. The representation of the category was assessed by …
real-world category domain, foods. The representation of the category was assessed by …
[PDF][PDF] Learning to learn categories
A Perfors, J Tenenbaum - Proceedings of the Annual Meeting of …, 2009 - escholarship.org
Learning to categorize objects in the world is more than just learning the specific facts that
characterize individual categories. We can also learn more abstract knowledge about how …
characterize individual categories. We can also learn more abstract knowledge about how …
Rethinking the input: Skewed distributions of exemplars result in broad generalization in category learning
What we learn about the world is affected by the input we receive. Many extant category
learning studies use uniform distributions as input in which each exemplar in a category is …
learning studies use uniform distributions as input in which each exemplar in a category is …