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  1. 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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  • A theory of the discovery and predication of relational concepts.Leonidas A. A. Doumas, John E. Hummel & Catherine M. Sandhofer - 2008 - Psychological Review 115 (1):1-43.
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  • Bootstrapping the Mind: Analogical Processes and Symbol Systems.Dedre Gentner - 2010 - Cognitive Science 34 (5):752-775.
    Human cognition is striking in its brilliance and its adaptability. How do we get that way? How do we move from the nearly helpless state of infants to the cognitive proficiency that characterizes adults? In this paper I argue, first, that analogical ability is the key factor in our prodigious capacity, and, second, that possession of a symbol system is crucial to the full expression of analogical ability.
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  • Coordinating perceptually grounded categories through language: A case study for colour.Luc Steels & Tony Belpaeme - 2005 - Behavioral and Brain Sciences 28 (4):469-489.
    This article proposes a number of models to examine through which mechanisms a population of autonomous agents could arrive at a repertoire of perceptually grounded categories that is sufficiently shared to allow successful communication. The models are inspired by the main approaches to human categorisation being discussed in the literature: nativism, empiricism, and culturalism. Colour is taken as a case study. Although we take no stance on which position is to be accepted as final truth with respect to human categorisation (...)
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  • Language impairment and colour categories.Jules Davidoff & Claudio Luzzatti - 2005 - Behavioral and Brain Sciences 28 (4):494-495.
    Goldstein reported multiple cases of failure to categorise colours in patients that he termed amnesic or anomic aphasics. These patients have a particular difficulty in producing perceptual categories in the absence of other aphasic impairments. We hold that neuropsychological evidence supports the view that the task of colour categorisation is logically impossible without labels.
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  • Perceptual alignment contributes to referential transparency in indirect learning.Ruxue Shao & Dedre Gentner - 2022 - Cognition 224 (C):105061.
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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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  • Word Meanings Evolve to Selectively Preserve Distinctions on Salient Dimensions.Catriona Silvey, Simon Kirby & Kenny Smith - 2015 - Cognitive Science 39 (1):212-226.
    Words refer to objects in the world, but this correspondence is not one-to-one: Each word has a range of referents that share features on some dimensions but differ on others. This property of language is called underspecification. Parts of the lexicon have characteristic patterns of underspecification; for example, artifact nouns tend to specify shape, but not color, whereas substance nouns specify material but not shape. These regularities in the lexicon enable learners to generalize new words appropriately. How does the lexicon (...)
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