Kimberly A. Jameson

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The evolution of color categorization is investigated using computer simulations of agent population categorization games. Various realistic observer types are implemented based on Farnsworth-Munsell 100 Hue Test human performance data from normal and anomalous trichromats, dichromats, and humans with four retinal photopigments. Results show that (i) a(More)
Investigating the interactions between universal and culturally specific influences on color categorization across individuals and cultures has proven to be a challenge for human color categorization and naming research. The present article simulates the evolution of color lexicons to evaluate the role of two realistic constraints found in the human(More)
The evolution of color categorization is investigated using artificial agent population categorization games, by modeling observer types using Farnsworth-Munsell 100 Hue Test performance to capture human processing constraints on color categorization. Homogeneous populations of both normal and dichromat agents are separately examined. Both types of(More)
Linguistic meaning is a convention. This article investigates how such conventions can arise for color categories in populations of simulated " agents ". The method uses concepts from evolutionary game theory: A language game where agents assign names to color patches and is played repeatedly by members of a population. The evolutionary dynamics employed(More)
The evolution of population color categorization systems formed on the Farnsworth-Munsell 100 Hue Test continuum is investigated in populations of artificial agents using realistic constraints from human populations: namely, (i) varying amounts of normal observer heterogeneity, and (ii) varying degrees and forms of observer color deficiency. These(More)
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