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Respects for Similarity
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15
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A Bayesian Framework for Concept Learning
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Investigations into Unsupervised Category Learning. The Role of Working Memory in Learning Category Structures
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23
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A rational analysis of rule-based concept learning
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21
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Isolated and Interrelated Concepts
– Robert L. Goldstone
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60
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SUSTAIN: A network model of category learning
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2
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Beyond common features: The role of roles in determining similarity
– Matt Jones, Bradley C. Love
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10
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The Rules versus Similarity Distinction
– Emmanuel M. Pothos
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20
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A rule-plus-exception model for classifying objects in continuous-dimension spaces
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17
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Role-Governed Categories
– Arthur B. Markman, C. Hunt Stilwell
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4
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Generalization and similarity in exemplar models of categorization: Insights from machine learning
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28
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Causal Status as a Determinant of Feature Centrality
– Woo-kyoung Ahn, Nancy S. Kim, Mary E. Lassaline, Martin dennis
- 2000
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3
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Categorization as nonparametric Bayesian density estimation
– Thomas L. Griffiths, Adam N. Sanborn, Kevin R. Canini, Daniel J. Navarro
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47
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Theory-based Bayesian models of inductive learning and reasoning
– Joshua B. Tenenbaum, Charles Kemp, Patrick Shafto
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13
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Structured statistical models of inductive reasoning
– Charles Kemp, Joshua B. Tenenbaum
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3
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Comparison processes in category learning: . . .
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13
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Inference using categories
– Takashi Yamauchi, Arthur B. Markman
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26
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Similarity and rules: Distinct? Exhaustive? Empirically distinguishable
– Ulrike Hahn, Nick Chater
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5
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The Role of Correlated Properties in Accessing Conceptual Memory
– Ken Mcrae, Virginia De Sa, Mark Seidenberg
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