colorcat

Namecolorcat
DescriptionDifferent languages divide the visible light spectrum into words (e.g. "red," "green," "blue" ... in English) in different ways. However, despite the apparent freedom in assigning colors to different categories, there are clear universal patterns across languages in how they divide color space according to the number of color terms in the language. This pattern has now been empirically well established, however there remains a confusion of theories for why this pattern should exist at all. In fact, a simple, evolutionary model in tandem with a model of perceptual color space and color saliency, completely accounts for the observed universal patterns. We will use the open science grid to explore the parameter space of this model via many parallel, independent runs of the dynamics to find the best fit parameter values to the language data available.
OrganizationUniversity of Pennsylvania
DepartmentBiology
Sponsor Campus GridOSG Connect
Principal Investigator
Joshua B. Plotkin
Field Of ScienceEvolutionary Sciences
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