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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
Cheng, Patricia W.; Sandhofer, Catherine M.; Liljeholm, Mimi – Cognitive Science, 2022
The present paper examines a type of abstract domain-general knowledge required for the process of constructing useable domain-specific causal knowledge, the evident goal of causal learning. It tests the hypothesis that analytic knowledge of "causal-invariance decomposition functions" is essential for this process. Such knowledge…
Descriptors: Preschool Children, Learning Processes, Generalization, Heuristics
Peters, Uwe; Krauss, Alexander; Braganza, Oliver – Cognitive Science, 2022
Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account…
Descriptors: Sciences, Bias, Generalization, Cognitive Processes
Mendonça, Rita; Garrido, Margarida V.; Semin, Gün R. – Cognitive Science, 2022
Cultural routines, such as reading and writing direction (script direction), channel attention orientation. Depending on one's native language habit, attention is biased from left-to-right (LR) or from right-to-left (RL). Here, we further document this bias, as it interacts with the spatial directionality that grounds time concepts. We used a…
Descriptors: Spatial Ability, Attention, Eye Movements, Bias
Srinivasan, Mahesh; Wagner, Katie; Frank, Michael C.; Barner, David – Cognitive Science, 2018
Previous accounts of how people develop expertise have focused on how deliberate practice transforms the cognitive and perceptual representations and processes that give rise to expertise. However, the likelihood of developing expertise with a particular tool may also depend on the degree to which that tool fits pre-existing perceptual and…
Descriptors: Attention, Expertise, Calculators, Bias
Zinszer, Benjamin D.; Rolotti, Sebi V.; Li, Fan; Li, Ping – Cognitive Science, 2018
Infant language learners are faced with the difficult inductive problem of determining how new words map to novel or known objects in their environment. Bayesian inference models have been successful at using the sparse information available in natural child-directed speech to build candidate lexicons and infer speakers' referential intentions. We…
Descriptors: Bayesian Statistics, Vocabulary Development, Bilingualism, Monolingualism
Kucker, Sarah C.; McMurray, Bob; Samuelson, Larissa K. – Cognitive Science, 2018
Identifying the referent of novel words is a complex process that young children do with relative ease. When given multiple objects along with a novel word, children select the most novel item, sometimes retaining the word-referent link. Prior work is inconsistent, however, on the role of object novelty. Two experiments examine 18-month-old…
Descriptors: Infants, Associative Learning, Vocabulary, Novelty (Stimulus Dimension)
Król, Michal; Król, Magdalena – Cognitive Science, 2019
Existing research shows that people can improve their decision skills by learning what experts paid attention to when faced with the same problem. However, in domains like financial education, effective instruction requires frequent, personalized feedback given at the point of decision, which makes it time-consuming for experts to provide and…
Descriptors: Eye Movements, Feedback (Response), Decision Making, Bias
Lake, Brenden M.; Lawrence, Neil D.; Tenenbaum, Joshua B. – Cognitive Science, 2018
Both scientists and children make important structural discoveries, yet their computational underpinnings are not well understood. Structure discovery has previously been formalized as probabilistic inference about the right structural form--where form could be a tree, ring, chain, grid, etc. (Kemp & Tenenbaum, 2008). Although this approach…
Descriptors: Discovery Learning, Intuition, Bias, Computation
Cohen, Dale J.; Blanc-Goldhammer, Daryn; Quinlan, Philip T. – Cognitive Science, 2018
Current understanding of the development of quantity representations is based primarily on performance in the number-line task. We posit that the data from number-line tasks reflect the observer's underlying representation of quantity, together with the cognitive strategies and skills required to equate line length and quantity. Here, we specify a…
Descriptors: Mathematical Models, Mathematics Skills, Problem Solving, Mathematical Concepts
Colunga, Eliana; Sims, Clare E. – Cognitive Science, 2017
In typical development, word learning goes from slow and laborious to fast and seemingly effortless. Typically developing 2-year-olds seem to intuit the whole range of things in a category from hearing a single instance named--they have word-learning biases. This is not the case for children with relatively small vocabularies ("late…
Descriptors: Child Language, Bias, Prediction, Nouns
Strickland, Brent – Cognitive Science, 2017
The underlying structures that are common to the world's languages bear an intriguing connection with early emerging forms of "core knowledge" (Spelke & Kinzler, 2007), which are frequently studied by infant researchers. In particular, grammatical systems often incorporate distinctions (e.g., the mass/count distinction) that reflect…
Descriptors: Language, Grammar, Nonverbal Ability, Bias
Verhoef, Tessa; Kirby, Simon; de Boer, Bart – Cognitive Science, 2016
In language, recombination of a discrete set of meaningless building blocks forms an unlimited set of possible utterances. How such combinatorial structure emerged in the evolution of human language is increasingly being studied. It has been shown that it can emerge when languages culturally evolve and adapt to human cognitive biases. How the…
Descriptors: Bias, Language Processing, Semiotics, Diachronic Linguistics
Sutherland, Shelbie L.; Cimpian, Andrei; Leslie, Sarah-Jane; Gelman, Susan A. – Cognitive Science, 2015
Much evidence suggests that, from a young age, humans are able to generalize information learned about a subset of a category to the category itself. Here, we propose that--beyond simply being able to perform such generalizations--people are "biased" to generalize to categories, such that they routinely make spontaneous, implicit…
Descriptors: Memory, Bias, Generalization, Classification
Spike, Matthew; Stadler, Kevin; Kirby, Simon; Smith, Kenny – Cognitive Science, 2017
The emergence of signaling systems has been observed in numerous experimental and real-world contexts, but there is no consensus on which (if any) shared mechanisms underlie such phenomena. A number of explanatory mechanisms have been proposed within several disciplines, all of which have been instantiated as credible working models. However, they…
Descriptors: Nonverbal Communication, Communication Strategies, Adjustment (to Environment), Reinforcement