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Morgan, Emma J.; Carroll, Daniel J.; Chow, Constance K. C.; Freeth, Megan – Cognitive Science, 2022
Our behavior is frequently influenced by those around us. However, the majority of social cognition research is conducted using socially isolated paradigms, without the presence of real people (i.e., without a "social presence"). The current study aimed to test the influence of social presence upon a measure of mentalizing behavior in…
Descriptors: Social Cognition, Theory of Mind, Thinking Skills, Adults
Simms, Nina K.; Richland, Lindsey E. – Cognitive Science, 2019
Relational reasoning is a hallmark of human higher cognition and creativity, yet it is notoriously difficult to encourage in abstract tasks, even in adults. Generally, young children initially focus more on objects, but with age become more focused on relations. While prerequisite knowledge and cognitive resource maturation partially explains this…
Descriptors: Thinking Skills, Schemata (Cognition), Age Differences, Correlation
Jung, Wookyoung; Hummel, John E. – Cognitive Science, 2015
Theories of relational concept acquisition (e.g., schema induction) based on structured intersection discovery predict that relational concepts with a probabilistic (i.e., family resemblance) structure ought to be extremely difficult to learn. We report four experiments testing this prediction by investigating conditions hypothesized to facilitate…
Descriptors: Schemata (Cognition), Concept Formation, Probability, Educational Experiments
Christie, Stella; Gentner, Dedre – Cognitive Science, 2014
Adult humans show exceptional relational ability relative to other species. In this research, we trace the development of this ability in young children. We used a task widely used in comparative research--the relational match-to-sample task, which requires participants to notice and match the identity relation: for example, AA should match BB…
Descriptors: Figurative Language, Task Analysis, Performance, Feedback (Response)
Ritter, Frank E.; Bibby, Peter A. – Cognitive Science, 2008
We have developed a process model that learns in multiple ways while finding faults in a simple control panel device. The model predicts human participants' learning through its own learning. The model's performance was systematically compared to human learning data, including the time course and specific sequence of learned behaviors. These…
Descriptors: Problem Solving, Artificial Intelligence, Comparative Analysis, Task Analysis
Lee, Michael D.; Dry, Matthew J. – Cognitive Science, 2006
We study human decision making in a simple forced-choice task that manipulates the frequency and accuracy of available information. Empirically, we find that people make decisions consistent with the advice provided, but that their subjective confidence in their decisions shows 2 interesting properties. First, people's confidence does not depend…
Descriptors: Decision Making, Self Esteem, Models, Thinking Skills