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Whalen, Andrew; Griffiths, Thomas L.; Buchsbaum, Daphna – Cognitive Science, 2018
Social learning has been shown to be an evolutionarily adaptive strategy, but it can be implemented via many different cognitive mechanisms. The adaptive advantage of social learning depends crucially on the ability of each learner to obtain relevant and accurate information from informants. The source of informants' knowledge is a particularly…
Descriptors: Social Development, Socialization, Bayesian Statistics, Behavior Patterns
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Klein, Esther; Klein, Colin – Cognitive Science, 2012
In their "The Prevalence of Mind-Body Dualism in Early China," Slingerland and Chudek use a statistical analysis of the early Chinese corpus to argue for Weak Folk Dualism (WFD). We raise three methodological objections to their analysis. First, the change over time that they find is largely driven by genre. Second, the…
Descriptors: Foreign Countries, Statistical Analysis, Computational Linguistics, Psychological Patterns
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Yoshida, Katherine; Rhemtulla, Mijke; Vouloumanos, Athena – Cognitive Science, 2012
The roles of linguistic, cognitive, and social-pragmatic processes in word learning are well established. If statistical mechanisms also contribute to word learning, they must interact with these processes; however, there exists little evidence for such mechanistic synergy. Adults use co-occurrence statistics to encode speech-object pairings with…
Descriptors: Evidence, Infants, Reading Difficulties, Cognitive Processes
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Meilinger, Tobias; Knauff, Markus; Bulthoff, Heinrich H. – Cognitive Science, 2008
This study examines the working memory systems involved in human wayfinding. In the learning phase, 24 participants learned two routes in a novel photorealistic virtual environment displayed on a 220 degrees screen while they were disrupted by a visual, a spatial, a verbal, or--in a control group--no secondary task. In the following wayfinding…
Descriptors: Control Groups, Short Term Memory, Virtual Classrooms, Spatial Ability
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Steyvers, Mark; Tenenbaum, Joshua B. – Cognitive Science, 2005
We present statistical analyses of the large-scale structure of 3 types of semantic networks: word associations, WordNet, and Roget's Thesaurus. We show that they have a small-world structure, characterized by sparse connectivity, short average path lengths between words, and strong local clustering. In addition, the distributions of the number of…
Descriptors: Semantics, Internet, Associative Learning, Statistical Analysis