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Williams, Joseph J.; Lombrozo, Tania – Cognitive Psychology, 2013
How do explaining and prior knowledge contribute to learning? Four experiments explored the relationship between explanation and prior knowledge in category learning. The experiments independently manipulated whether participants were prompted to explain the category membership of study observations and whether category labels were informative in…
Descriptors: Prior Learning, Evidence, Classification, Correlation
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Jern, Alan; Kemp, Charles – Cognitive Psychology, 2013
People are capable of imagining and generating new category exemplars and categories. This ability has not been addressed by previous models of categorization, most of which focus on classifying category exemplars rather than generating them. We develop a formal account of exemplar and category generation which proposes that category knowledge is…
Descriptors: Sampling, Probability, Classification, Cognitive Processes
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Gelman, Susan A.; Davidson, Natalie S. – Cognitive Psychology, 2013
One important function of categories is to permit rich inductive inferences. Prior work shows that children use category labels to guide their inductive inferences. However, there are competing theories to explain this phenomenon, differing in the roles attributed to conceptual information vs. perceptual similarity. Seven experiments with 4- to…
Descriptors: Logical Thinking, Preschool Children, Inferences, Classification
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Sewell, David K.; Lewandowsky, Stephan – Cognitive Psychology, 2011
Knowledge restructuring refers to changes in the strategy with which people solve a given problem. Two types of knowledge restructuring are supported by existing category learning models. The first is a relearning process, which involves incremental updating of knowledge as learning progresses. The second is a recoordination process, which…
Descriptors: Classification, Psychology, Cognitive Processes, Models
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Fazl, Arash; Grossberg, Stephen; Mingolla, Ennio – Cognitive Psychology, 2009
How does the brain learn to recognize an object from multiple viewpoints while scanning a scene with eye movements? How does the brain avoid the problem of erroneously classifying parts of different objects together? How are attention and eye movements intelligently coordinated to facilitate object learning? A neural model provides a unified…
Descriptors: Reaction Time, Eye Movements, Earth Science, Associative Learning
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Wilcox, Teresa; Woods, Rebecca; Chapa, Catherine – Cognitive Psychology, 2008
There is evidence for developmental hierarchies in the type of information to which infants attend when reasoning about objects. Investigators have questioned the origin of these hierarchies and how infants come to identify new sources of information when reasoning about objects. The goal of the present experiments was to shed light on this debate…
Descriptors: Infants, Cognitive Development, Attention, Color
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Tanaka, James W.; Taylor, Marjorie – Cognitive Psychology, 1991
Categorizing performance of 12 expert and 12 novice subjects was compared in 3 experiments for feature listing; object naming; and category verification. In all, 15 dog experts and 16 bird experts participated. Implications for research concerning the basic level for categorizing objects are discussed. (SLD)
Descriptors: Classification, Cognitive Processes, Comparative Analysis, Knowledge Level
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Jones, Matt; Love, Bradley C. – Cognitive Psychology, 2007
Historically, accounts of object representation and perceived similarity have focused on intrinsic features. Although more recent accounts have explored how objects, scenes, and situations containing common relational structures come to be perceived as similar, less is known about how the perceived similarity of parts or objects embedded within…
Descriptors: Decision Making, Language Processing, Hypothesis Testing, Role
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Welder, Andrea N.; Graham, Susan A. – Cognitive Psychology, 2006
In five experiments, 14- to 15-month-old infants' categorization of objects on the basis of more or less obvious features was investigated. Using an object examining paradigm, a total of 200 infants were familiarized with novel objects that shared either more obvious features (i.e., easily visible) or less obvious features (i.e., accessible by…
Descriptors: Infants, Cues, Novelty (Stimulus Dimension), Classification
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Ward, Thomas B. – Cognitive Psychology, 1994
Results of 5 experiments involving 385 undergraduates imagining animals from another galaxy are consistent with the idea that similar structures and processes underlie creative and noncreative aspects of cognition. The concept of structured imagination and the role of characteristic properties are explored. (SLD)
Descriptors: Classification, Cognitive Processes, Creativity, Higher Education
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Robertson, Lynn C.; Lamb, Marvin R. – Cognitive Psychology, 1991
It is proposed that there is a modular but interconnected system underlying the perceived hierarchical organization of objects. The discussion centers on neural and cognitive mechanisms of organizing objects within objects in at least four separate subsystems. (SLD)
Descriptors: Brain Hemisphere Functions, Classification, Cognitive Processes, Neuropsychology
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Ross, Brian H.; And Others – Cognitive Psychology, 1990
A reminding-based generalization view of category learning was studied in 4 experiments involving a total of 247 college students. Experiments demonstrated that categorization by reminding can affect what is learned about the category and later categorization performance. Implications of the results for category learning are discussed. (SLD)
Descriptors: Classification, Cognitive Processes, College Students, Generalization
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Ross, Brian H.; Murphy, Gregory L. – Cognitive Psychology, 1999
Seven studies involving 256 undergraduates examined how people represent, access, and make inferences about the real-world category domain, foods. Results give a detailed picture of the use of cross-classification in a complex domain. (SLD)
Descriptors: Classification, Cognitive Processes, Food, Higher Education
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Sloman, Steven A. – Cognitive Psychology, 1998
Five experiments involving 173 college students show that people frequently do not apply the category inclusion rule when evaluating categorical arguments involving natural categories and a single nonexplainable predicate. Judgments tended to be proportional to the similarity between premise and conclusion categories. (SLD)
Descriptors: Classification, Cognitive Processes, Cognitive Psychology, College Students
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Rosch, Eleanor; And Others – Cognitive Psychology, 1976
Results show that basic objects are shown to be the most inclusive categories for which a concrete image of the category as a whole can be formed, to be the first categorizations made during perception of the environment and to be the categories most codable, most coded, and most necessary in language. (Author/DEP)
Descriptors: Abstract Reasoning, Classification, Cognitive Processes, Language Research
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