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Zheng, Yinyuan; Matlen, Bryan; Gentner, Dedre – Cognitive Science, 2022
Visual comparison is a key process in everyday learning and reasoning. Recent research has discovered the spatial alignment principle, based on the broader framework of structure-mapping theory in comparison. According to the spatial alignment principle, visual comparison is more efficient when the figures being compared are arranged in…
Descriptors: Visual Stimuli, Comparative Analysis, Spatial Ability, Correlation
Stanojevic, Miloš; Brennan, Jonathan R.; Dunagan, Donald; Steedman, Mark; Hale, John T. – Cognitive Science, 2023
To model behavioral and neural correlates of language comprehension in naturalistic environments, researchers have turned to broad-coverage tools from natural-language processing and machine learning. Where syntactic structure is explicitly modeled, prior work has relied predominantly on context-free grammars (CFGs), yet such formalisms are not…
Descriptors: Correlation, Language Processing, Brain Hemisphere Functions, Natural Language Processing
Richie, Russell; Bhatia, Sudeep – Cognitive Science, 2021
Similarity is one of the most important relations humans perceive, arguably subserving category learning and categorization, generalization and discrimination, judgment and decision making, and other cognitive functions. Researchers have proposed a wide range of representations and metrics that could be at play in similarity judgment, yet have not…
Descriptors: Classification, Generalization, Decision Making, Cognitive Processes
Lacey, Simon; Jamal, Yaseen; List, Sara M.; McCormick, Kelly; Sathian, K.; Nygaard, Lynne C. – Cognitive Science, 2020
Sound symbolism refers to non-arbitrary mappings between the sounds of words and their meanings and is often studied by pairing auditory pseudowords such as "maluma" and "takete" with rounded and pointed visual shapes, respectively. However, it is unclear what auditory properties of pseudowords contribute to their perception as…
Descriptors: Acoustics, Auditory Stimuli, Cognitive Mapping, Definitions
de Varda, Andrea Gregor; Strapparava, Carlo – Cognitive Science, 2022
The present paper addresses the study of non-arbitrariness in language within a deep learning framework. We present a set of experiments aimed at assessing the pervasiveness of different forms of non-arbitrary phonological patterns across a set of typologically distant languages. Different sequence-processing neural networks are trained in a set…
Descriptors: Learning Processes, Phonology, Language Patterns, Language Classification
Linzen, Tal; Jaeger, T. Florian – Cognitive Science, 2016
There is now considerable evidence that human sentence processing is expectation based: As people read a sentence, they use their statistical experience with their language to generate predictions about upcoming syntactic structure. This study examines how sentence processing is affected by readers' "uncertainty" about those…
Descriptors: Prediction, Expectation, Sentences, Evidence
White, Aaron S.; Hacquard, Valentine; Lidz, Jeffrey – Cognitive Science, 2018
Propositional attitude verbs, such as "think" and "want," have long held interest for both theoretical linguists and language acquisitionists because their syntactic, semantic, and pragmatic properties display complex interactions that have proven difficult to fully capture from either perspective. This paper explores the…
Descriptors: Semantics, Syntax, Verbs, Likert Scales
Potter, Christine E.; Wang, Tianlin; Saffran, Jenny R. – Cognitive Science, 2017
Recent research has begun to explore individual differences in statistical learning, and how those differences may be related to other cognitive abilities, particularly their effects on language learning. In this research, we explored a different type of relationship between language learning and statistical learning: the possibility that learning…
Descriptors: Second Language Learning, Learning Experience, Mandarin Chinese, Control Groups
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
Martin, Jay B.; Griffiths, Thomas L.; Sanborn, Adam N. – Cognitive Science, 2012
Exploring how people represent natural categories is a key step toward developing a better understanding of how people learn, form memories, and make decisions. Much research on categorization has focused on artificial categories that are created in the laboratory, since studying natural categories defined on high-dimensional stimuli such as…
Descriptors: Markov Processes, Monte Carlo Methods, Correlation, Efficiency
Tabor, Whitney; Cho, Pyeong W.; Dankowicz, Harry – Cognitive Science, 2013
Human participants and recurrent ("connectionist") neural networks were both trained on a categorization system abstractly similar to natural language systems involving irregular ("strong") classes and a default class. Both the humans and the networks exhibited staged learning and a generalization pattern reminiscent of the…
Descriptors: Learning Processes, Task Analysis, Systems Approach, Geometric Concepts
Liszkowski, Ulf; Brown, Penny; Callaghan, Tara; Takada, Akira; de Vos, Conny – Cognitive Science, 2012
Several cognitive accounts of human communication argue for a language-independent, prelinguistic basis of human communication and language. The current study provides evidence for the universality of a prelinguistic gestural basis for human communication. We used a standardized, semi-natural elicitation procedure in seven very different cultures…
Descriptors: Evidence, Speech Communication, Infants, Caregivers
Osman, Magda – Cognitive Science, 2008
This study discusses findings that replicate and extend the original work of Burns and Vollmeyer (2002), which showed that performance in problem-solving tasks was more accurate when people were engaged in a non-specific goal than in a specific goal. The main innovation here was to examine the goal specificity effect under both observation-based…
Descriptors: Observation, Problem Solving, Goal Orientation, Learning Processes