The language of color

The partitioning of the continuous visible spectrum into a small number of basic colors is done differently in different languages. But the variation is less than would be expected by chance, as statistical analysis of the World Color Survey’s data set has shown. Several computational approaches have been taken toward understanding how languages’ color categories develop. Among them is the work of Andrea Baronchelli (Polytechnic University of Catalonia, Barcelona, Spain) and his collaborators. They performed computer simulations in which individuals in a population, beginning with no words to describe colors at all, were tasked with describing different colors to one another. The individuals independently invented words and categories and, based on the success or failure of their communications, adjusted their categories and vocabularies to match those around them. Eventually, each population came to a near-consensus, as shown in two examples in the top panel of the figure. Now, the researchers have revised their model to include a real property of human vision, the “just noticeable difference” (JND; shown in the bottom panel), or wavelength resolution. In the new simulations, individuals were not required to distinguish between colors that a human couldn’t tell apart. The categories produced by the JND-based simulations clustered together in color space to the same degree as the World Color Survey results did. The researchers hope that the quantitative agreement between their simple model and empirical data will pave the way for greater use of synthetic modeling in studying language development. (A. Baronchelli et al., Proc. Natl. Acad. Sci. USA, in press, doi/10.1073/pnas.0908533107 .) —Johanna Miller