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  1.  8
    Vygotsky and cognitive science: language and the unification of the social and computational mind.William Frawley - 1997 - Cambridge, Mass.: Harvard University Press.
    By reconciling the linguistic device and the linguistic person, his book argues for a Vygotskyan cognitive science.
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  2.  72
    Linguistic semantics.William Frawley - 1992 - Hillsdale, N.J.: L. Erlbaum Associates.
    This volume is a comprehensive, up-to-date, and readable introduction to linguistic meaning. While partial to conceptual and typological approaches, the book also presents results from formal approaches. Throughout, the focus is on grammatical meaning -- the way languages delineate universal semantic space and encode it in grammatical form. Subjects covered by the author include: the domain of linguistic semantics and the basic tools, assumptions, and issues of semantic analysis; semantic properties of entities, events, and thematic roles; language and space; tense, (...)
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  3.  9
    Inner speech and the meeting of the minds.William Frawley - 2002 - Behavioral and Brain Sciences 25 (6):686-687.
    Four extensions of Carruthers’ arguments are given. (1) Specifics of the Vygotskyan tradition can enhance his claims. (2) Linguistic relativity might be seen as variation in how logical form (LF) and phonetic form (PF)serve working memory. (3) Language aids intermodular thinking because it makes representations maximally visible. (4) Language for intermodular thinking is not hardwired but opportunistic.
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  4.  21
    Private speech, cognitive-computational control, and the autism-psychosis continuum.William Frawley - 2008 - Behavioral and Brain Sciences 31 (3):269-270.
    Autism and psychosis manifest private speech disruptions analogous to their diametrical opposition along the autism-psychosis continuum. Autism has naturally suppressed private speech with predictable structural deficits when it does surface; psychosis has overt but ineffectual private speech with similar structural deficits. These private speech oppositions are best understood in the context of the control processes of cognitive-computational architectures.
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