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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
Jarecki, Jana B.; Meder, Björn; Nelson, Jonathan D. – Cognitive Science, 2018
Humans excel in categorization. Yet from a computational standpoint, learning a novel probabilistic classification task involves severe computational challenges. The present paper investigates one way to address these challenges: assuming class-conditional independence of features. This feature independence assumption simplifies the inference…
Descriptors: Classification, Conditioning, Inferences, Novelty (Stimulus Dimension)
Rahaman, Jeenath; Agrawal, Harshit; Srivastava, Nisheeth; Chandrasekharan, Sanjay – Cognitive Science, 2018
Manipulation of physical models such as tangrams and tiles is a popular approach to teaching early mathematics concepts. This pedagogical approach is extended by new computational media, where mathematical entities such as equations and vectors can be virtually manipulated. The cognitive and neural mechanisms supporting such manipulation-based…
Descriptors: Mathematics Instruction, Problem Solving, Manipulative Materials, Object Manipulation
Shoaib, Amber; Wang, Tianlin; Hay, Jessica F.; Lany, Jill – Cognitive Science, 2018
Infants are sensitive to statistical regularities (i.e., transitional probabilities, or TPs) relevant to segmenting words in fluent speech. However, there is debate about whether tracking TPs results in representations of possible words. Infants show preferential learning of sequences with high TPs (HTPs) as object labels relative to those with…
Descriptors: Infants, Italian, English, Native Language
Haines, Nathaniel; Vassileva, Jasmin; Ahn, Woo-Young – Cognitive Science, 2018
The Iowa Gambling Task (IGT) is widely used to study decision-making within healthy and psychiatric populations. However, the complexity of the IGT makes it difficult to attribute variation in performance to specific cognitive processes. Several cognitive models have been proposed for the IGT in an effort to address this problem, but currently no…
Descriptors: Reinforcement, Task Analysis, Decision Making, Cognitive Processes
Gershman, Samuel J.; Pouncy, Hillard Thomas; Gweon, Hyowon – Cognitive Science, 2017
We routinely observe others' choices and use them to guide our own. Whose choices influence us more, and why? Prior work has focused on the effect of perceived similarity between two individuals (self and others), such as the degree of overlap in past choices or explicitly recognizable group affiliations. In the real world, however, any dyadic…
Descriptors: Social Influences, Social Cognition, Inferences, Models
Kachergis, George; Yu, Chen; Shiffrin, Richard M. – Cognitive Science, 2017
Prior research has shown that people can learn many nouns (i.e., word--object mappings) from a short series of ambiguous situations containing multiple words and objects. For successful cross-situational learning, people must approximately track which words and referents co-occur most frequently. This study investigates the effects of allowing…
Descriptors: Vocabulary Development, Linguistic Theory, Context Effect, Familiarity
Gray, Wayne D.; Lindstedt, John K. – Cognitive Science, 2017
The framework of "plateaus, dips, and leaps" shines light on periods when individuals may be inventing new methods of skilled performance. We begin with a review of the role "performance plateaus" have played in (a) experimental psychology, (b) human-computer interaction, and (c) cognitive science. We then reanalyze two classic…
Descriptors: Performance, Cognitive Development, Expertise, Heuristics
Guevara-Rukoz, Adriana; Cristia, Alejandrina; Ludusan, Bogdan; Thiollière, Roland; Martin, Andrew; Mazuka, Reiko; Dupoux, Emmanuel – Cognitive Science, 2018
We investigate whether infant-directed speech (IDS) could facilitate word form learning when compared to adult-directed speech (ADS). To study this, we examine the distribution of word forms at two levels, acoustic and phonological, using a large database of spontaneous speech in Japanese. At the acoustic level we show that, as has been documented…
Descriptors: Statistical Analysis, Phonemes, Phonology, Infants
Lu, Hongjing; Rojas, Randall R.; Beckers, Tom; Yuille, Alan L. – Cognitive Science, 2016
Two key research issues in the field of causal learning are how people acquire causal knowledge when observing data that are presented sequentially, and the level of abstraction at which learning takes place. Does sequential causal learning solely involve the acquisition of specific cause-effect links, or do learners also acquire knowledge about…
Descriptors: Learning Processes, Causal Models, Sequential Learning, Abstract Reasoning
Gentner, Dedre; Levine, Susan C.; Ping, Raedy; Isaia, Ashley; Dhillon, Sonica; Bradley, Claire; Honke, Garrett – Cognitive Science, 2016
We tested whether analogical training could help children learn a key principle of elementary engineering--namely, the use of a diagonal brace to stabilize a structure. The context for this learning was a construction activity at the Chicago Children's Museum, in which children and their families build a model skyscraper together. The results…
Descriptors: Children, Museums, Logical Thinking, Engineering
Stevens, Jon Scott; Gleitman, Lila R.; Trueswell, John C.; Yang, Charles – Cognitive Science, 2017
We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed "Pursuit," uses an associative…
Descriptors: Semantics, Associative Learning, Probability, Computational Linguistics
Kim, Sunae; Paulus, Markus; Kalish, Chuck – Cognitive Science, 2017
Prior work shows that children selectively learn from credible speakers. Yet little is known how they treat information from non-credible speakers. This research examined to what extent and under what conditions children may or may not learn from problematic sources. In three studies, we found that children displayed trust toward previously…
Descriptors: Young Children, Trust (Psychology), Accuracy, Reliability
Escudero, Paola; Mulak, Karen E.; Vlach, Haley A. – Cognitive Science, 2016
"Cross-situational statistical learning" of words involves tracking co-occurrences of auditory words and objects across time to infer word-referent mappings. Previous research has demonstrated that learners can infer referents across sets of very phonologically distinct words (e.g., WUG, DAX), but it remains unknown whether learners can…
Descriptors: Statistics, Learning Processes, Oral Language, Vocabulary Development
Carr, Jon W.; Smith, Kenny; Cornish, Hannah; Kirby, Simon – Cognitive Science, 2017
Language maps signals onto meanings through the use of two distinct types of structure. First, the space of meanings is discretized into categories that are shared by all users of the language. Second, the signals employed by the language are compositional: The meaning of the whole is a function of its parts and the way in which those parts are…
Descriptors: Language Usage, Maps, Classification, Language Research

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