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Ransom, Keith J.; Perfors, Andrew; Hayes, Brett K.; Connor Desai, Saoirse – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
In describing how people generalize from observed samples of data to novel cases, theories of inductive inference have emphasized the learner's reliance on the contents of the sample. More recently, a growing body of literature suggests that different assumptions about how a data sample was generated can lead the learner to draw qualitatively…
Descriptors: Sampling, Generalization, Inferences, Logical Thinking
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Caitlin R. Bowman; Dagmar Zeithamova – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
A major question for the study of learning and memory is how to tailor learning experiences to promote knowledge that generalizes to new situations. In two experiments, we used category learning as a representative domain to test two factors thought to influence the acquisition of conceptual knowledge: the number of training examples (set size)…
Descriptors: Classification, Learning Processes, Generalization, Recognition (Psychology)
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Nosofsky, Robert M.; Meagher, Brian J.; Kumar, Parhesh – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
A classic issue in the cognitive psychology of human category learning has involved the contrast between exemplar and prototype models. However, experimental tests to distinguish the models have relied almost solely on use of artificially-constructed categories composed of simplified stimuli. Here we contrast the predictions from the models in a…
Descriptors: Cognitive Psychology, Natural Sciences, Experimental Psychology, Prediction
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Annis, Jeffrey; Palmeri, Thomas J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
The development of visual expertise is accompanied by enhanced visual object recognition memory within an expert domain. We aimed to understand the relationship between expertise and memory by modeling cognitive mechanisms. Participants with a measured range of birding expertise were recruited and tested on memory for birds (expert domain) and…
Descriptors: Long Term Memory, Short Term Memory, Visual Perception, Expertise
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Bowman, Caitlin R.; Zeithamova, Dagmar – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Building conceptual knowledge that generalizes to novel situations is a key function of human memory. Category-learning paradigms have long been used to understand the mechanisms of knowledge generalization. In the present study, we tested the conditions that promote formation of new concepts. Participants underwent 1 of 6 training conditions that…
Descriptors: Concept Formation, Generalization, Discrimination Learning, Classification
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Yu-Chin, Chiu – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Recent context-control learning studies have shown that switch costs are reduced in a particular context predicting a high probability of switching as compared to another context predicting a low probability of switching. These context-specific switch probability effects suggest that control of task sets, through experience, can become associated…
Descriptors: Learning Processes, Prior Learning, Task Analysis, Cognitive Ability
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Weidemann, Christoph T.; Kahana, Michael J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Dual-process models of recognition memory typically assume that independent familiarity and recollection signals with distinct temporal profiles can each lead to recognition (enabling 2 routes to recognition), whereas single-process models posit a unitary "memory strength" signal. Using multivariate classifiers trained on spectral…
Descriptors: Recognition (Psychology), Memory, Familiarity, Recall (Psychology)
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Soro, Jerônimo C.; Ferreira, Mário B.; Semin, Gün R.; Mata, André; Carneiro, Paula – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Three experiments were designed to test whether experimentally created ad hoc associative networks evoke false memories. We used the DRM (Deese, Roediger, McDermott) paradigm with lists of ad hoc categories composed of exemplars aggregated toward specific goals (e.g., going for a picnic) that do not share any consistent set of features. Experiment…
Descriptors: Experiments, Memory, Association (Psychology), Word Recognition
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Stephens, Rachel G.; Kalish, Michael L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Delayed feedback during categorization training has been hypothesized to differentially affect 2 systems that underlie learning for rule-based (RB) or information-integration (II) structures. We tested an alternative possibility: that II learning requires more precise item representations than RB learning, and so is harmed more by a delay interval…
Descriptors: Classification, Memory, Feedback (Response), Learning
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Bülthoff, Isabelle; Zhao, Mintao – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Many studies have demonstrated that we can identify a familiar face on an image much better than an unfamiliar one, especially when various degradations or changes (e.g., image distortions or blurring, new illuminations) have been applied, but few have asked how different types of facial information from familiar faces are stored in memory. Here…
Descriptors: Memory, Classification, Human Body, Self Concept
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Kalish, Michael L.; Newell, Ben R.; Dunn, John C. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
It is sometimes supposed that category learning involves competing explicit and procedural systems, with only the former reliant on working memory capacity (WMC). In 2 experiments participants were trained for 3 blocks on both filtering (often said to be learned explicitly) and condensation (often said to be learned procedurally) category…
Descriptors: Short Term Memory, Classification, Learning, Accuracy
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Carvalho, Paulo F.; Goldstone, Robert L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The sequence of study influences how we learn. Previous research has identified different sequences as potentially beneficial for learning in different contexts and with different materials. Here we investigate the mechanisms involved in inductive category learning that give rise to these sequencing effects. Across 3 experiments we show evidence…
Descriptors: Classification, Sequential Approach, Learning, Cognitive Processes
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McDaniel, Mark A.; Cahill, Michael J.; Bugg, Julie M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
How does orthographic distinctiveness affect recall of structured (categorized) word lists? On one theory, enhanced item-specific information (e.g., more distinct encoding) in concert with robust relational information (e.g., categorical information) optimally supports free recall. This predicts that for categorically structured lists,…
Descriptors: Experimental Psychology, Recall (Psychology), Word Lists, Cognitive Processes
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Tu, Hsiao-Wei; Diana, Rachel A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
In recognition memory, "recollection" is defined as retrieval of the context associated with an event, whereas "familiarity" is defined as retrieval based on item strength alone. Recent studies have shown that conventional recollection-based tasks, in which context details are manipulated for source memory assessment at test,…
Descriptors: Experimental Psychology, Memory, Recall (Psychology), Cognitive Processes
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Hunt, R. Reed; Smith, Rebekah E.; Toth, Jeffrey P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
The experiments reported here were designed to replicate and extend McCabe, Roediger, and Karpicke's (2011) finding that retrieval in category cued recall involves both controlled and automatic processes. The extension entailed identifying whether distinctive encoding affected 1 or both of these 2 processes. The first experiment successfully…
Descriptors: Cues, Recall (Psychology), Memory, Experimental Psychology
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