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Kristy L. Armitage; Alicia K. Jones; Jonathan Redshaw – Cognitive Science, 2025
With the rise of wearable technologies, mobile devices and artificial intelligence comes a growing pressure to understand downstream effects of cognitive offloading on children's future thinking and behavior. Here, we explored whether compelling children to use an indiscriminate cognitive offloading strategy affects their subsequent strategy…
Descriptors: Cognitive Processes, Cognitive Ability, Problem Solving, Learning Strategies
Maurício D. Martins; Zoe Bergmann; Elena Leonova; Roberta Bianco; Daniela Sammler; Arno Villringer – Cognitive Science, 2025
Recursive hierarchical embedding allows humans to generate multiple hierarchical levels using simple rules. We can acquire recursion from exposure to linguistic and visual examples, but only develop the ability to understand "multiple-level" structures like "[[second] red] ball]" after mastering "same-level"…
Descriptors: Psychomotor Skills, Adults, Adult Learning, Learning Processes
Jaffe-Dax, Sagi; Potter, Christine E.; Leung, Tiffany S.; Emberson, Lauren L.; Lew-Williams, Casey – Cognitive Science, 2023
Perception is not an independent, in-the-moment event. Instead, perceiving involves integrating prior expectations with current observations. How does this ability develop from infancy through adulthood? We examined how prior visual experience shapes visual perception in infants, children, and adults. Using an identical task across age groups, we…
Descriptors: Memory, Visual Perception, Infants, Children
Fabian Tomaschek; Michael Ramscar; Jessie S. Nixon – Cognitive Science, 2024
Sequence learning is fundamental to a wide range of cognitive functions. Explaining how sequences--and the relations between the elements they comprise--are learned is a fundamental challenge to cognitive science. However, although hundreds of articles addressing this question are published each year, the actual learning mechanisms involved in the…
Descriptors: Sequential Learning, Learning Processes, Serial Learning, Executive Function
Hoppe, Dorothée B.; Rij, Jacolien; Hendriks, Petra; Ramscar, Michael – Cognitive Science, 2020
Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers ("premarkers," e.g., gendered articles) or succeeding category markers ("postmarkers," e.g., gendered suffixes). Given that numerous…
Descriptors: Discrimination Learning, Computational Linguistics, Natural Language Processing, Artificial Languages
Koopman, Sarah E.; Mahon, Bradford Z.; Cantlon, Jessica F. – Cognitive Science, 2017
Language and culture endow humans with access to conceptual information that far exceeds any which could be accessed by a non-human animal. Yet, it is possible that, even without language or specific experiences, non-human animals represent and infer some aspects of similarity relations between objects in the same way as humans. Here, we show that…
Descriptors: Evolution, Animals, Discrimination Learning, Inferences

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