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Tanja C. Roembke; Bob McMurray – Cognitive Science, 2025
Computational and animal models suggest that the unlearning or pruning of incorrect meanings matters for word learning. However, it is currently unclear how such pruning occurs during word learning and to what extent it depends on supervised and unsupervised learning. In two experiments (N[subscript 1] = 40; N[subscript 2] = 42), adult…
Descriptors: Vocabulary Development, Computation, Models, Accuracy
Aditya Upadhyayula; Neil Cohn – Cognitive Science, 2025
Theories of visual narrative comprehension have advocated for a hierarchical grammar-based comprehension mechanism, but only limited work has investigated this hierarchy. Here, we provide a computational framework inspired by computational psycholinguistics to address hierarchy in visual narratives. The predictions generated by this framework were…
Descriptors: Visual Perception, Comprehension, Vertical Organization, Story Grammar
Sam Kirkham – Cognitive Science, 2025
A fundamental challenge in the cognitive sciences is discovering the dynamics that govern behavior. Take the example of spoken language, which is characterized by a highly variable and complex set of physical movements that map onto the small set of cognitive units that comprise language. What are the fundamental dynamical principles behind the…
Descriptors: Speech Communication, Interpersonal Communication, Nonverbal Communication, Cognitive Science