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Bonawitz, Elizabeth; Ullman, Tomer D.; Bridgers, Sophie; Gopnik, Alison; Tenenbaum, Joshua B. – Cognitive Science, 2019
Constructing an intuitive theory from data confronts learners with a "chicken-and-egg" problem: The laws can only be expressed in terms of the theory's core concepts, but these concepts are only meaningful in terms of the role they play in the theory's laws; how can a learner discover appropriate concepts and laws simultaneously, knowing…
Descriptors: Theories, Intuition, Magnets, Young Children
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
Kao, Justine T.; Levy, Roger; Goodman, Noah D. – Cognitive Science, 2016
Humor plays an essential role in human interactions. Precisely what makes something funny, however, remains elusive. While research on natural language understanding has made significant advancements in recent years, there has been little direct integration of humor research with computational models of language understanding. In this paper, we…
Descriptors: Humor, Language Usage, Sentences, Correlation
Walsh, Matthew M.; Gluck, Kevin A. – Cognitive Science, 2015
To function well in an unpredictable environment using unreliable components, a system must have a high degree of robustness. Robustness is fundamental to biological systems and is an objective in the design of engineered systems such as airplane engines and buildings. Cognitive systems, like biological and engineered systems, exist within…
Descriptors: Schemata (Cognition), Simulation, Semantics, Memory
Griffiths, Thomas L.; Lewandowsky, Stephan; Kalish, Michael L. – Cognitive Science, 2013
Information changes as it is passed from person to person, with this process of cultural transmission allowing the minds of individuals to shape the information that they transmit. We present mathematical models of cultural transmission which predict that the amount of information passed from person to person should affect the rate at which that…
Descriptors: Culture, Information Dissemination, Mathematical Models, Prediction
Vogt, Paul – Cognitive Science, 2012
Cross-situational learning has recently gained attention as a plausible candidate for the mechanism that underlies the learning of word-meaning mappings. In a recent study, Blythe and colleagues have studied how many trials are theoretically required to learn a human-sized lexicon using cross-situational learning. They show that the level of…
Descriptors: Vocabulary Development, Learning, Mathematical Models, Robustness (Statistics)
Reynolds, Jeremy R.; Zacks, Jeffrey M.; Braver, Todd S. – Cognitive Science, 2007
People tend to perceive ongoing continuous activity as series of discrete events. This partitioning of continuous activity may occur, in part, because events correspond to dynamic patterns that have recurred across different contexts. Recurring patterns may lead to reliable sequential dependencies in observers' experiences, which then can be used…
Descriptors: Prediction, Models, Mathematical Models, Simulation

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