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Chris Westbury [4]Chris F. Westbury [2]
  1. Chris F. Westbury, Cyrus Shaoul, Geoff Hollis, Lisa Smithson, Benny B. Briesemeister, Markus J. Hofmann & Arthur M. Jacobs (2013). Now You See It, Now You Don't: On Emotion, Context, & the Algorithmic Prediction of Human Imageability Judgments. Frontiers in Psychology 4:991.
    Many studies have shown that behavioral measures are affected by manipulating the imageability of words. Though imageability is usually measured by human judgment, little is known about what factors underlie those judgments. We demonstrate that imageability judgments can be largely or entirely accounted for by two computable measures that have previously been associated with imageability, the size and density of a word’s context and the emotional associations of the word. We outline an algorithmic method for predicting imageability judgments using co-occurrence (...)
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  2. Chris F. Westbury (2010). Bayes' Rule for Clinicians: An Introduction. Frontiers in Psychology 1:192.
    Bayes’ Rule is a way of calculating conditional probabilities. It is difficult to find an explanation of its relevance that is both mathematically comprehensive and easily accessible to all readers. This article tries to fill that void, by laying out the nature of Bayes’ Rule and its implications for clinicians in a way that assumes little or no background in probability theory. It builds on Meehl & Rosen’s (1955) classic paper, by laying out algebraic proofs that they simply allude to, (...)
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  3. Chris Westbury & Geoff Hollis (2005). In the Tiniest House of Time: Parametric Constraints in Evolutionary Models of Symbolization. Behavioral and Brain Sciences 28 (4):513-514.
    Steels & Belpaeme (S&B) describe the role of genetic evolution in linguistic category sharing among a population of agents. We consider their methodology and conclude that, although it is plausible that genetic evolution is sufficient for such tasks, there is a bias in the presented work for such a conclusion to be reached. We suggest ways to eliminate this bias and make the model more convincingly relevant to the cognitive sciences.
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  4. Chris Westbury (2002). Blind Men, Elephants, and Dancing Information Processors. Behavioral and Brain Sciences 25 (5):645-646.
    Whatever else language may be, it is complex and multifaceted. Shanker & King (S&K) have tried to contrast a dynamic interactive view of language with an information processing view. I take issue with two main claims: first, that the dynamic interactive view of language is a “new paradigm” in either animal research or human language studies; and second, that the dynamic systems language-as-dance view of language is in any way incompatible with an information-processing view of language. That some information is (...)
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  5. Chris Westbury & Elena Nicoladis (2001). A Multiplicity of Constraints: How Children Learn Word Meaning. Behavioral and Brain Sciences 24 (6):1122-1123.
    This book is an excellent and accessible overview of the position that children learn the meanings of words by applying a variety of nonlinguistic cognitive tools to the problem. We take issue with Bloom's emphasis on Theory of Mind as an explanatory mechanism for language learning; and with his claim that only unitary objects are nameable.
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  6. Daniel C. Dennett & Chris Westbury (2000). Mining The Past To Construct The Future: Memory and Belief as Forms of Knowledge. In Daniel L. Schacter & Elaine Scarry (eds.), Memory, Brain, and Belief. Harvard Univ Pr. 11--32.
    "The analogy between memory and a repository, and between remembering and retaining, is obvious and is to be found in all languages; it being natural to express the operations of the mind by images taken from things material. But in philosophy we ought to draw aside the veil of imagery, and to view them naked.".
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