Model-guided search for optimal natural-science-category training exemplars: A work in progress

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Psychonomic Bulletin & Review

• Publication date

  2018-07-09

• Fields of study

  Medicine, Psychology

• Identifiers
  DOI 10.3758/s13423-018-1508-8PMID 29987765
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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  1991cited by this paper
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  1991cited by this paper
• List-strength effect: II. Theoretical mechanisms.

  1990cited by this paper
• Similarity, frequency, and category representations.

  1988cited by this paper
• Attention and learning processes in the identification and categorization of integral stimuli.

  1987cited by this paper
• Toward a universal law of generalization for psychological science.

  1987cited by this paper
• Attention, similarity, and the identification-categorization relationship.

  1986influential reference
• Limitations of exemplar-based generalization and the abstraction of categorical information.

  1981cited by this paper
• Multidimensional Scaling, Tree-Fitting, and Clustering

  1980cited by this paper
• Additive clustering: Representation of similarities as combinations of discrete overlapping properties.

  1979cited by this paper
• Detection and recognition.

  1978cited by this paper
• Context theory of classification learning.

  1978cited by this paper
• Additive similarity trees

  1977cited by this paper
• Category Breadth and the Abstraction of Prototypical Information.

  1976cited by this paper
• Prototype abstraction and classification of new instances as a function of number of instances defining the prototype

  1973cited by this paper
• Pattern recognition and categorization

  1972cited by this paper
• On the genesis of abstract ideas.

  1968cited by this paper
• `` Direct Search'' Solution of Numerical and Statistical Problems

  1961cited by this paper
• Stimulus and response generalization: tests of a model relating generalization to distance in psychological space.

  1958cited by this paper
• Stimulus and response generalization: A stochastic model relating generalization to distance in psychological space

  1957cited by this paper
• American Psychological Association, Inc. Choice, Similarity, and the Context Theory of Classification

  year unknowncited by this paper
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  year unknowncited by this paper

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  2023cites this paper
• Coherent category training enhances generalization in prototype-based categories.

  2023cites this paper
• How variability shapes learning and generalization.

  2022cites this paper
• An order-dependent transfer model in categorization

  2022cites this paper
• Effects of categorical and numerical feedback on category learning.

  2022cites this paper
• Hold-out strategy for selecting learning models: Application to categorization subjected to presentation orders

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• An instance-based model account of the benefits of varied practice in visuomotor skill.

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