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  1. Learning Object Names at Different Hierarchical Levels Using Cross‐Situational Statistics.Chen Chi-Hsin, Zhang Yayun & Yu Chen - 2018 - Cognitive Science:591-605.
    Objects in the world usually have names at different hierarchical levels. This research investigates adults' ability to use cross-situational statistics to simultaneously learn object labels at individual and category levels. The results revealed that adults were able to use co-occurrence information to learn hierarchical labels in contexts where the labels for individual objects and labels for categories were presented in completely separated blocks, in interleaved blocks, or mixed in the same trial. Temporal presentation schedules significantly affected the learning of individual (...)
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  • Moving Word Learning to a Novel Space: A Dynamic Systems View of Referent Selection and Retention.K. Samuelson Larissa, C. Kucker Sarah & P. Spencer John - 2016 - Cognitive Science 40 (7):52-72.
    Theories of cognitive development must address both the issue of how children bring their knowledge to bear on behavior in-the-moment, and how knowledge changes over time. We argue that seeking answers to these questions requires an appreciation of the dynamic nature of the developing system in its full, reciprocal complexity. We illustrate this dynamic complexity with results from two lines of research on early word learning. The first demonstrates how the child's active engagement with objects and people supports referent selection (...)
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  • Moving Word Learning to a Novel Space: A Dynamic Systems View of Referent Selection and Retention.Larissa K. Samuelson, Sarah C. Kucker & John P. Spencer - 2017 - Cognitive Science 41:52-72.
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