Evolutionary models of color categorization I Population categorization systems based on normal and dichromat observers

Jameson, Kimberly A.; Komarova, Natalia L.

doi:10.1364/josaa.26.001414

Cited by 38 publications

(52 citation statements)

References 24 publications

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“…Here we present the so-called Category Game, a scheme where an assembly of individuals with basic communication rules and without any external supervision may evolve an initially empty set of categories, achieving a non-trivial communication system. The Category Game is a minimal model for linguistic categorization [53,54,55,56,57,25,58,59,60,61], which is a more complex activity than naming a single object. In the spirit of reducing the rich spectrum of linguistic phenomena to essential aspects, prone to mathematical or numerical modeling, here we consider linguistic categorization as the elaboration of a map between a large set of perceptions or concepts and a small set of linguistic labels, typically nouns or attributes [62].…”

Section: Category Gamementioning

confidence: 99%

Statistical physics of language dynamics

et al. 2011

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This is the unspecified version of the paper.This version of the publication may differ from the final published version. Abstract. Language dynamics is a rapidly growing field that focuses on all processes related to the emergence, evolution, change and extinction of languages. Recently, the study of self-organization and evolution of language and meaning has led to the idea that a community of language users can be seen as a complex dynamical system, which collectively solves the problem of developing a shared communication framework through the back-and-forth signaling between individuals. We shall review some of the progress made in the last few years and highlight potential future directions of research in this area. In particular, the emergence of a common lexicon and of a shared set of linguistic categories will be discussed, as examples corresponding to the early stages of a language. The extent to which synthetic modeling is nowadays contributing to the ongoing debate in cognitive science will be pointed out. In addition, the burst of growth of the web is providing new experimental frameworks. It makes available a huge amount of resources both as novel tools and data to be analized, allowing quantitative and large-scale analysis of the processes underlying the emergence of a collective information and language dynamics. Permanent repository link

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Section: Category Gamementioning

confidence: 99%

Statistical physics of language dynamics

et al. 2011

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“…In particular, it is possible that color categories are arranged to optimize communication between individuals with differences in color sensitivity (Jameson & Komarova, 2009b, 2009aKomarova & Jameson, 2008;Komarova, Jameson, & Narens, 2007). As a result, category effects should follow collective rather than individual patterns of sensitivity and categorization.…”

Section: Introductionmentioning

confidence: 99%

Categorical sensitivity to color differences

2013

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Categorical perception provides a potential link between color perception and the linguistic categories that correspond to the basic color terms. We examined whether the sensory information of the second-stage chromatic mechanisms is further processed so that sensitivity for color differences yields categorical perception. In this case, sensitivity for color differences should be higher across than within category boundaries. We measured discrimination thresholds (JNDs) and color categories around an isoluminant hue circle in Derrington-Krauskopf-Lennie (DKL) color space at three levels of lightness. At isoluminant lightness, the global pattern of JNDs coarsely followed an ellipse. Deviations from the ellipse coincided with the orange-pink and the blue-green category borders, but these minima were also aligned with the second-stage cone-opponent mechanisms. No evidence for categorical perception of color was found for any other category borders. At lower lightness, categories changed substantially, but JNDs did not change accordingly. Our results point to a loose relationship between color categorization and discrimination. However, the coincidence of some boundaries with JND minima is not a general property of color categorical boundaries. Hence, our basic ability to discriminate colors cannot fully explain why we use the particular set of categories to communicate about colors. Moreover, these findings seriously challenge the idea that color naming forms the basis for the categorical perception of colors. With respect to previous studies that concentrated on the green-blue boundary, our results highlight the importance of controlling perceptual distances and examining the full set of categories when investigating category effects on color perception.

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“…These differences have emphasized the “cultural relativism” of color naming. This relativism could arise because verbal categories are presumably also shaped by interaction and communication among observers (Jameson & Komarova, 2009, Lindsey, Brown, Brainard & Apicella, 2015, Steels & Belpaeme, 2005), so that categories are influenced by both perception and language [e.g. (Cibelli, Xu, Austerweil, Griffiths & Regier, 2016)], as well as a variety of other factors or decision rules at the various levels of representing and categorizing color (Cropper, Kvansakul & Little, 2013, Parraga & Akbarinia, 2016).…”

Section: Introductionmentioning

confidence: 99%

Variations in normal color vision. VII. Relationships between color naming and hue scaling

et al. 2017

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A longstanding and unresolved question is how observers construct a discrete set of color categories to partition and label the continuous variations in light spectra, and how these categories might reflect the neural representation of color. We explored the properties of color naming and its relationship to color appearance by analyzing individual differences in color-naming and hue-scaling patterns, using factor analysis of individual differences to identify separate and shared processes underlying hue naming (labeling) and hue scaling (color appearance). Observers labeled the hues of 36 stimuli spanning different angles in cone-opponent space, using a set of eight terms corresponding to primary (red, green, blue, yellow) or binary (orange, purple, blue-green, yellow-green) hues. The boundaries defining different terms varied mostly independently, reflecting the influence of at least seven to eight factors. This finding is inconsistent with conventional color-opponent models in which all colors derive from the relative responses of underlying red-green and blue-yellow dimensions. Instead, color categories may reflect qualitatively distinct attributes that are free to vary with the specific spectral stimuli they label. Inter-observer differences in color-naming were large and systematic, and we examined whether these differences were associated with differences in color appearance by comparing the hue-naming to color percepts assessed by hue scaling measured in the same observers (from Emery et al., submitted). Variability in both tasks again depended on multiple (7 or 8) factors, with some Varimax-rotated factors specific to hue naming or hue scaling, but others common to corresponding stimuli for both judgments. The latter suggests that at least some of the differences in how individuals name or categorize color are related to differences in how the stimuli are perceived.

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Evolutionary models of color categorization I Population categorization systems based on normal and dichromat observers

Cited by 38 publications

References 24 publications

Statistical physics of language dynamics

Statistical physics of language dynamics

Categorical sensitivity to color differences

Variations in normal color vision. VII. Relationships between color naming and hue scaling

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