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Abstract

Humans perceive a continuous colour spectrum, but divide the spectrum into colour categories in order to reason and communicate about colour. There is an ongoing debate on whether these colour categories necessary for language communication are universal or culture-specific, whether these categories are genetically determined or learned, and whether there is a causal influence of language on colour category acquisition or not. The dissertation presents a number of models, each examining one of these outstanding issues. The models draw on techniques from multi-agent systems, machine learning and evolutionary programming. After considering the behaviour of each model, we conclude in favour of a cultural specificity of language categories and argue that learning under the influence of language is the most plausible explanation for their acquisition.

@phdthesis{belpaeme02factorsInfluencing,
  author={Tony Belpaeme},
  title={Factors influencing the origins of colour categories},
  year={2002},
  school={Vrije Universiteit Brussel, Artificial Intelligence Lab},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/belpaeme02factorsInfluencing.html}
}

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