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  1. Categorization and representation of physics problems by experts and novices.Michelene T. H. Chi, Paul J. Feltovich & Robert Glaser - 1981 - Cognitive Science 5 (2):121-52.
    The representation of physics problems in relation to the organization of physics knowledge is investigated in experts and novices. Four experiments examine the existence of problem categories as a basis for representation; differences in the categories used by experts and novices; differences in the knowledge associated with the categories; and features in the problems that contribute to problem categorization and representation. Results from sorting tasks and protocols reveal that experts and novices begin their problem representations with specifiably different problem categories, (...)
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  • The adaptive nature of human categorization.John R. Anderson - 1991 - Psychological Review 98 (3):409-429.
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  • One or two dimensions in spontaneous classification: A simplicity approach.Emmanuel M. Pothos & James Close - 2008 - Cognition 107 (2):581-602.
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  • A simplicity principle in unsupervised human categorization.Emmanuel M. Pothos & Nick Chater - 2002 - Cognitive Science 26 (3):303-343.
    We address the problem of predicting how people will spontaneously divide into groups a set of novel items. This is a process akin to perceptual organization. We therefore employ the simplicity principle from perceptual organization to propose a simplicity model of unconstrained spontaneous grouping. The simplicity model predicts that people would prefer the categories for a set of novel items that provide the simplest encoding of these items. Classification predictions are derived from the model without information either about the number (...)
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  • On the genesis of abstract ideas.M. I. Posner & S. W. Keele - 1968 - Journal of Experimental Psychology 77 (2p1):353-363.
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  • Category-based induction.Daniel N. Osherson, Edward E. Smith, Ormond Wilkie & Alejandro López - 1990 - Psychological Review 97 (2):185-200.
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  • Rule-plus-exception model of classification learning.Robert M. Nosofsky, Thomas J. Palmeri & Stephen C. McKinley - 1994 - Psychological Review 101 (1):53-79.
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  • Respects for similarity.Douglas L. Medin, Robert L. Goldstone & Dedre Gentner - 1993 - Psychological Review 100 (2):254-278.
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  • Folkbiology of freshwater fish.Douglas L. Medin, Norbert O. Ross, Scott Atran, Douglas Cox, John Coley, Julia B. Proffitt & Sergey Blok - 2006 - Cognition 99 (3):237-273.
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  • Context theory of classification learning.Douglas L. Medin & Marguerite M. Schaffer - 1978 - Psychological Review 85 (3):207-238.
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  • SUSTAIN: A Network Model of Category Learning.Bradley C. Love, Douglas L. Medin & Todd M. Gureckis - 2004 - Psychological Review 111 (2):309-332.
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  • ALCOVE: An exemplar-based connectionist model of category learning.John K. Kruschke - 1992 - Psychological Review 99 (1):22-44.
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  • A Rational Analysis of Rule-Based Concept Learning.Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldman & Thomas L. Griffiths - 2008 - Cognitive Science 32 (1):108-154.
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  • Inference Using Categories.Takashi Yamauchi & Arthur B. Markman - 2000 - Journal of Experimental Psychology 26:776-795.
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  • Expertise and Category-Based Induction.Julia Beth Proffitt, John Coley, Medin D. & L. Douglas - 2000 - Journal of Experimental Psychology 26:811-828.
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  • Similarity and Property Effects in Inductive Reasoning.Evan Heit & Joshua Rubinstein - 1994 - Journal of Experimental Psychology 20:411-422.
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  • Family resemblances: Studies in the internal structure of categories.Eleanor Rosch & Carolyn B. Mervis - 1975 - Cognitive Psychology 7 (4):573--605.
    Six experiments explored the hypothesis that the members of categories which are considered most prototypical are those with most attributes in common with other members of the category and least attributes in common with other categories. In probabilistic terms, the hypothesis is that prototypicality is a function of the total cue validity of the attributes of items. In Experiments 1 and 3, subjects listed attributes for members of semantic categories which had been previously rated for degree of prototypicality. High positive (...)
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  • Ad hoc categories.L. W. Barsalou - 1983 - Memory and Cognition 11:211-277.
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  • Alcove-an exemplar-based connectionist model of category learning.Jk Kruschke & Rm Nosofsky - 1991 - Bulletin of the Psychonomic Society 29 (6):475-475.
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