6 found
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  1.  33
    The Effects of Feature-Label-Order and Their Implications for Symbolic Learning.Michael Ramscar, Daniel Yarlett, Melody Dye, Katie Denny & Kirsten Thorpe - 2010 - Cognitive Science 34 (6):909-957.
    Symbols enable people to organize and communicate about the world. However, the ways in which symbolic knowledge is learned and then represented in the mind are poorly understood. We present a formal analysis of symbolic learning—in particular, word learning—in terms of prediction and cue competition, and we consider two possible ways in which symbols might be learned: by learning to predict a label from the features of objects and events in the world, and by learning to predict features from a (...)
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  2.  13
    Linguistic Self‐Correction in the Absence of Feedback: A New Approach to the Logical Problem of Language Acquisition.Michael Ramscar & Daniel Yarlett - 2007 - Cognitive Science 31 (6):927-960.
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  3. The Feature-Label-Order Effect in Symbolic Learning.Michael Ramscar, Daniel Yarlett, Melody Dye & Nal Kalchbrenner - 2010 - Cognitive Science 34 (7).
     
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  4.  7
    Semantic Grounding in Models of Analogy: An Environmental Approach.Michael Ramscar & Daniel Yarlett - 2003 - Cognitive Science 27 (1):41-71.
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  5.  76
    Jesse J. Prinz,Furnishing the Mind: Concepts and Their Perceptual Basis. Cambridge, Mass.: MIT Press, 2002. [REVIEW]Jonathan M. Weinberg, Daniel Yarlett, Michael Ramscar, Dan Ryder & Jesse J. Prinz - 2003 - Metascience 12 (3):279-303.
  6.  6
    Regular Articles Learning to Divide the Labor: An Account of Deficits in Light and Heavy Verb Production 1 Jean K. Gordon, Gary S. Dell Semantic Grounding in Models of Analogy: An Environmental Approach 41.Michael Ramscar, Daniel Yarlett, Shimon Edelman, Nathan Intrator, Gergely Csibra, Szilvia Bıró, Orsolya Koós, György Gergely, Holk Cruse & Michael D. Lee - 2003 - Cognitive Science 27:945-948.
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