FEATURE- AND RULE-BASED GENERALIZATION IN HUMAN ASSOCIATIVE LEARNING

作者: David R. Shanks , Richard J. Darby

DOI: 10.1037/0097-7403.24.4.405

关键词: Equivalence (measure theory)Training phaseCombinatoricsFeature (machine learning)Generalization (learning)Rule-based systemCategorizationPsychologyAssociative learningOutcome (probability)

摘要: … Participants were classified as aware or unaware of the … classified as aware, using a liberal definition of awareness that … marked if a conservative definition of awareness is used in which …

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