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            Language strategies for the domain of colour

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            Author(s)
            Bleys, Joris
            Collection
            Knowledge Unlatched (KU)
            Language
            English
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            Abstract
            This book presents a major leap forward in the understanding of colour by showing how richer descriptions of colour samples can be operationalized in agent-based models. Four different language strategies are explored: the basic colour strategy, the graded membership strategy, the category combination strategy and the basic modification strategy. These strategies are firmly rooted in empirical observations in natural languages, with a focus on compositionality at both the syntactic and semantic level. Through a series of in-depth experiments, this book discerns the impact of the environment, language and embodiment on the formation of basic colour systems. Finally, the experiments demonstrate how language users can invent their own language strategies of increasing complexity by combining primitive cognitive operators, and how these strategies can be aligned between language users through linguistic interactions.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/165096
            Keywords
            colour; language in robots; artificial intelligence; Color space; Color term; Hue; Noun; Prototype; Semantics; Syntax; thema EDItEUR::C Language and Linguistics::CF Linguistics; thema EDItEUR::U Computing and Information Technology
            DOI
            10.26530/OAPEN_603341
            ISBN
            9783944675442
            Publisher
            Language Science Press
            Publisher website
            http://langsci-press.org/
            Publication date and place
            2015
            Grantor
            • Knowledge Unlatched
            Series
            Computational Models of Language Evolution,
            Pages
            220
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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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