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De Deyne, Simon; Navarro, Danielle J.; Collell, Guillem; Perfors, Andrew – Cognitive Science, 2021
One of the main limitations of natural language-based approaches to meaning is that they do not incorporate multimodal representations the way humans do. In this study, we evaluate how well different kinds of models account for people's representations of both concrete and abstract concepts. The models we compare include unimodal distributional…
Descriptors: Models, Definitions, Concept Formation, Linguistics
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Edmunds, Charlotte E. R.; Milton, Fraser; Wills, Andy J. – Cognitive Science, 2018
Behavioral evidence for the COVIS dual-process model of category learning has been widely reported in over a hundred publications (Ashby & Valentin, 2016). It is generally accepted that the validity of such evidence depends on the accurate identification of individual participants' categorization strategies, a task that usually falls to…
Descriptors: Simulation, Models, Cognitive Processes, Classification
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Weis, Patrick P.; Wiese, Eva – Cognitive Science, 2019
When incorporating the environment into mental processing (cf., "cognitive offloading"), one creates novel cognitive strategies that have the potential to improve task performance. Improved performance can, for example, mean faster problem solving, more accurate solutions, or even higher grades at university. Although cognitive…
Descriptors: Problem Solving, Goal Orientation, Performance, Cognitive Processes
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Van Hoey, Thomas; Thompson, Arthur L.; Do, Youngah; Dingemanse, Mark – Cognitive Science, 2023
Iconicity, or the resemblance between form and meaning, is often ascribed to a special status and contrasted with default assumptions of arbitrariness in spoken language. But does iconicity in spoken language have a special status when it comes to learnability? A simple way to gauge learnability is to see how well something is retrieved from…
Descriptors: Learning Processes, Cognitive Processes, Speech Communication, Memory
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Candace Walkington; Mitchell J. Nathan; Min Wang; Kelsey Schenck – Cognitive Science, 2022
Theories of grounded and embodied cognition offer a range of accounts of how reasoning and body-based processes are related to each other. To advance theories of grounded and embodied cognition, we explore the "cognitive relevance" of particular body states to associated math concepts. We test competing models of action-cognition…
Descriptors: Thinking Skills, Mathematics Skills, Cognitive Processes, Models
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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
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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
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Resnick, Ilyse; Newcombe, Nora S.; Shipley, Thomas F. – Cognitive Science, 2017
Being able to estimate quantity is important in everyday life and for success in the STEM disciplines. However, people have difficulty reasoning about magnitudes outside of human perception (e.g., nanoseconds, geologic time). This study examines patterns of estimation errors across temporal and spatial magnitudes at large scales. We evaluated the…
Descriptors: STEM Education, Error Patterns, Accuracy, Abstract Reasoning
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Gruenenfelder, Thomas M.; Recchia, Gabriel; Rubin, Tim; Jones, Michael N. – Cognitive Science, 2016
We compared the ability of three different contextual models of lexical semantic memory (BEAGLE, Latent Semantic Analysis, and the Topic model) and of a simple associative model (POC) to predict the properties of semantic networks derived from word association norms. None of the semantic models were able to accurately predict all of the network…
Descriptors: Memory, Semantics, Associative Learning, Networks
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Phillips, Lawrence; Pearl, Lisa – Cognitive Science, 2015
The informativity of a computational model of language acquisition is directly related to how closely it approximates the actual acquisition task, sometimes referred to as the model's "cognitive plausibility." We suggest that though every computational model necessarily idealizes the modeled task, an informative language acquisition…
Descriptors: Language Acquisition, Models, Computational Linguistics, Credibility
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Testolin, Alberto; Stoianov, Ivilin; Sperduti, Alessandro; Zorzi, Marco – Cognitive Science, 2016
Learning the structure of event sequences is a ubiquitous problem in cognition and particularly in language. One possible solution is to learn a probabilistic generative model of sequences that allows making predictions about upcoming events. Though appealing from a neurobiological standpoint, this approach is typically not pursued in…
Descriptors: Orthographic Symbols, Neurological Organization, Models, Probability
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Giustolisi, Beatrice; Emmorey, Karen – Cognitive Science, 2018
This study investigated visual statistical learning (VSL) in 24 deaf signers and 24 hearing non-signers. Previous research with hearing individuals suggests that SL mechanisms support literacy. Our first goal was to assess whether VSL was associated with reading ability in deaf individuals, and whether this relation was sustained by a link between…
Descriptors: Deafness, Hearing Impairments, Task Analysis, Correlation
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Wen, Wen; Ishikawa, Toru; Sato, Takao – Cognitive Science, 2013
This study examined how different components of working memory are involved in the acquisition of egocentric and allocentric survey knowledge by people with a good and poor sense of direction (SOD). We employed a dual-task method and asked participants to learn routes from videos with verbal, visual, and spatial interference tasks and without any…
Descriptors: Individual Differences, Cognitive Processes, Short Term Memory, Spatial Ability