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Andrew F. Smith
Drexel University
  1.  62
    Cross-Situational Learning: An Experimental Study of Word-Learning Mechanisms.Kenny Smith, Andrew D. M. Smith & Richard A. Blythe - 2011 - Cognitive Science 35 (3):480-498.
    Cross-situational learning is a mechanism for learning the meaning of words across multiple exposures, despite exposure-by-exposure uncertainty as to the word's true meaning. We present experimental evidence showing that humans learn words effectively using cross-situational learning, even at high levels of referential uncertainty. Both overall success rates and the time taken to learn words are affected by the degree of referential uncertainty, with greater referential uncertainty leading to less reliable, slower learning. Words are also learned less successfully and more slowly (...)
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    Learning Times for Large Lexicons Through Cross‐Situational Learning.Richard A. Blythe, Kenny Smith & Andrew D. M. Smith - 2010 - Cognitive Science 34 (4):620-642.
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    Word Learning Under Infinite Uncertainty.Richard A. Blythe, Andrew D. M. Smith & Kenny Smith - 2016 - Cognition 151:18-27.
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    Learning Colour Words is Slow: A Cross-Situational Learning Account.Paul Vogt & Andrew D. M. Smith - 2005 - Behavioral and Brain Sciences 28 (4):509-510.
    Research into child language reveals that it takes a long time for children to learn the correct mapping of colour words. Steels & Belpaeme's (S&B's) guessing game, however, models fast learning of words. We discuss computational studies based on cross-situational learning, which yield results that are more consistent with the empirical child language data than those obtained by S&B.
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  5. Protolanguage Reconstructed.Andrew D. M. Smith - 2008 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 9 (1):100-116.
    One important difference between existing accounts of protolanguage lies in their assumptions on the semantic complexity of protolinguistic utterances. I bring evidence about the nature of linguistic communication to bear on the plausibility of these assumptions, and show that communication is fundamentally inferential and characterised by semantic uncertainty. This not only allows individuals to maintain variation in linguistic representation, but also imposes a selection pressure that meanings be reconstructible from context. I argue that protolanguage utterances had varying degrees of semantic (...)
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    The Brain Plus the Cultural Transmission Mechanism Determine the Nature of Language.Kenny Smith, Simon Kirby & Andrew D. M. Smith - 2008 - Behavioral and Brain Sciences 31 (5):533-534.
    We agree that language adapts to the brain, but we note that language also has to adapt to brain-external constraints, such as those arising from properties of the cultural transmission medium. The hypothesis that Christiansen & Chater (C&C) raise in the target article not only has profound consequences for our understanding of language, but also for our understanding of the biological evolution of the language faculty.
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