Why GRUE? An Interpoint-Distance Model Analysis of Composite Color Categories
نویسنده
چکیده
This article applies the interpoint-distance model (IDM) to explain composite color categories that continue to challenge existing models in the literature. Using universal cognitive principles and heuristics suggested in the IDM, analyses demonstrate that the composite category blue-green (or GRUE) seen in many languages is one of several natural coding configurations expected in the development of a color lexicon for communicating about color sensations within a given ethnolinguistic society. Using the IDM, these enigmatic composite color categories can be explained and integrated into an updated view of the psychological processing responsible for similarities in cross-cultural color processing. The IDM also allows for revision of existing theories and increases our understanding of the cognition that underlies individuals’ color naming, categorization, and concept formation.
منابع مشابه
[this Is a Comment on a Ms. by Stephen E. Palmer, Entitled Color, Consciousness and the Isomorphism Constraint, to Appear in Behavioral and Brain Sciences.]
PURPLE (RED-and-BLUE) is the most frequently occurring derived (binary) basic color term (BCT), but there is never a named composite BCT meaning RED-or-BLUE. GREEN-or-BLUE is the most frequently named composite color category, but there is never a BCT for the corresponding derived (binary) category CYAN (BLUE-and-GREEN). Why? Palmer notes that the naming of some but not all of the possible comp...
متن کاملUniversality of color names.
We analyzed the World Color Survey (WCS) color-naming data set by using k-means cluster and concordance analyses. Cluster analysis relied on a similarity metric based on pairwise Pearson correlation of the complete chromatic color-naming patterns obtained from individual WCS informants. When K, the number of k-means clusters, varied from 2 to 10, we found that (i) the average color-naming patte...
متن کاملمقایسه روشهای طبقهبندیکننده حداکثر مشابهت و حداقل فاصله از میانگین در تهیه نقشه پوشش اراضی (مطالعه موردی: استان اصفهان)
Land cover maps derived from satellite images play a key role in regional and national land cover assessments. In order to compare maximum likelihood and minimum distance to mean classifiers, LISS-III images from IRS-P6 satellite were acquired in August 2008 from the western part of Isfahan. First, the LISS-III image was georeferenced. The Root Mean Square error of less than one pixel was the r...
متن کاملOlfactory Classification via Interpoint Distance Analysis
ÐDetection of the presence of a single prespecified chemical analyte at low concentration in complex backgrounds is a difficult application for chemical sensors. This article considers a database of artificial nose observations designed specifically to allow for the investigation of chemical sensor data analysis performance on the problem of trichloroethylene (TCE) detection. We consider an app...
متن کاملColor Naming and Sunlight
Lindsey and Brown (2002) proposed an intriguing explanation for the existence and geographical distribution of languages that lack a distinct word for the color blue. Many such languages include blue in a color term that also encompasses green, yielding a green-or-blue (‘‘grue’’) term. Others include blue in a color term that also encompasses dark colors such as black, yielding a black-or-blue ...
متن کامل