Poster
Learning the context of a category
Daniel Navarro

Tue Dec 7th 12:00 -- 12:00 AM @ None #None

This paper outlines a hierarchical Bayesian model for human category learning that learns both the organization of objects into categories, and the context in which this knowledge should be applied. The model is fit to multiple data sets, and provides a parsimonious method for describing how humans learn context specific conceptual representations.

Author Information

Daniel Navarro (University of Adelaide)

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