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  • Evolutionary semantics: using NSM to model stages in human cognitive evolution

    Author(s)
    Goddard, Cliff
    Wierzbicka, Anna
    Fabrega, Horacio
    Griffith University Author(s)
    Goddard, Cliff W.
    Year published
    2014
    Metadata
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    Abstract
    This study seeks to make a contribution to evolutionary science. It shows how the Natural Semantic Metalanguage (NSM) system of semantic-conceptual representation, developed for modern humans, can be "reverse engineered" to produce a plausible model of cognitive evolution from the time of the Last Common Ancestor (LCA) of humans and chimpanzees. We posit six stages of cognitive development, each with its own distinct repertoire of conceptual primes. The progression between the stages is seen as driven by natural selection in the service of enhanced cognitive operations for biological problem solving under changing anatomical, ...
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    This study seeks to make a contribution to evolutionary science. It shows how the Natural Semantic Metalanguage (NSM) system of semantic-conceptual representation, developed for modern humans, can be "reverse engineered" to produce a plausible model of cognitive evolution from the time of the Last Common Ancestor (LCA) of humans and chimpanzees. We posit six stages of cognitive development, each with its own distinct repertoire of conceptual primes. The progression between the stages is seen as driven by natural selection in the service of enhanced cognitive operations for biological problem solving under changing anatomical, behavioural, environmental and social conditions. The paper draws on a range of evidence and leading ideas from archaeology, paleoanthropology and primatology.
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    Journal Title
    Language Sciences
    Volume
    42
    DOI
    https://doi.org/10.1016/j.langsci.2013.11.003
    Subject
    Cognitive and computational psychology
    Language studies
    Linguistics
    Linguistic structures (incl. phonology, morphology and syntax)
    Publication URI
    http://hdl.handle.net/10072/61221
    Collection
    • Journal articles

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