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Dwight Read
University of California, Los Angeles
  1.  94
    Cultural Evolution is Not Equivalent to Darwinian Evolution.Dwight W. Read - 2006 - Behavioral and Brain Sciences 29 (4):361-361.
    Darwinian evolution, defined as evolution arising from selection based directly on the properties of individuals, does not account for cultural constructs providing the organizational basis of human societies. The difficulty with linking Darwinian evolution to structural properties of cultural constructs is exemplified with kinship terminologies, a cultural construct that structures and delineates the domain of kin in human societies. (Published Online November 9 2006).
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  2.  32
    The Algebraic Logic of Kinship Terminology Structures.Dwight W. Read - 2010 - Behavioral and Brain Sciences 33 (5):399-401.
    Jones' proposed application of Optimality Theory assumes the primary kinship data are genealogical definitions of kin terms. This, however, ignores the fact that these definitions can be predicted from the computational, algebralike structural logic of kinship terminologies, as has been discussed and demonstrated in numerous publications. The richness of human kinship systems derives from the cultural knowledge embedded in kinship terminologies as symbolic computation systems, not the post hoc constraints devised by Jones.
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    The Substance of Cultural Evolution: Culturally Framed Systems of Social Organization.Dwight W. Read - 2014 - Behavioral and Brain Sciences 37 (3):270-271.
  4.  32
    Can There Be Cognitive Science Without Anthropology?Fadwa El Guindi & Dwight W. Read - 2014 - Topics in Cognitive Science 6 (1):144-145.
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  5.  17
    The Rich Detail of Cultural Symbol Systems.Dwight W. Read - 2014 - Behavioral and Brain Sciences 37 (4):434-435.
    The goal of forming a science of intentional behavior requires a more richly detailed account of symbolic systems than is assumed by the authors. Cultural systems are not simply the equivalent in the ideational domain of culture of the purported Baldwin Effect in the genetic domain. © 2014 Cambridge University Press.
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