about
Rules and resemblance: their changing balance in the category learning of humans (Homo sapiens) and monkeys (Macaca mulatta)Categorization: The View from Animal CognitionCategorization = decision making + generalizationImplicit and explicit categorization: a tale of four speciesThe time course of explicit and implicit categorization.Beyond common features: the role of roles in determining similarityComparing Exemplar- and Rule-Based Theories of CategorizationPerformance Pressure Enhances Speech Learning.Effect of explicit dimensional instruction on speech category learning.Toward a dual-learning systems model of speech category learningEffects of talker variability on perceptual learning of dialects.Sorting out categories: incremental learning of category structure.On the generality and limits of abstraction in rats and humansImplicit and explicit category learning by macaques (Macaca mulatta) and humans (Homo sapiens)Response-time tests of logical-rule models of categorization.Logical-rule models of classification response times: a synthesis of mental-architecture, random-walk, and decision-bound approaches.Category induction in autism: slower, perhaps different, but certainly possible.The perceptual effects of learning object categories that predict perceptual goals.Category variability effect in category learning with auditory stimuli.Learning bundles of stimuli renders stimulus order as a cue, not a confoundA mixture approach to vagueness and ambiguityMere exposure alters category learning of novel objects.Reinforcement learning in multidimensional environments relies on attention mechanismsA knowledge-resonance (KRES) model of category learning.An Eye-Tracking Study of Multiple Feature Value Category Structure Learning: The Role of Unique Features.One Giant Leap for Categorizers: One Small Step for Categorization Theory.Developing representations of compound stimuli.Generalization of category knowledge and dimensional categorization in humans (Homo sapiens) and nonhuman primates (Macaca mulatta).Transfer in Rule-Based Category Learning Depends on the Training TaskBase-rate sensitivity through implicit learning.Implicit and explicit category learning by capuchin monkeys (Cebus apella)Similarity-dissimilarity competition in disjunctive classification tasks.When more is less: feedback effects in perceptual category learning.Response processes in information-integration category learningMultiple systems of category learning.Category learning strategies in younger and older adults: Rule abstraction and memorization.Categorization of birds, mammals, and chimeras by pigeons.Criterial noise effects on rule-based category learning: the impact of delayed feedback.The multiple self-aspects framework: self-concept representation and its implications.Précis of doing without concepts.
P2860
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P2860
description
1994 nî lūn-bûn
@nan
1994年の論文
@ja
1994年学术文章
@wuu
1994年学术文章
@zh
1994年学术文章
@zh-cn
1994年学术文章
@zh-hans
1994年学术文章
@zh-my
1994年学术文章
@zh-sg
1994年學術文章
@yue
1994年學術文章
@zh-hant
name
Rule-plus-exception model of classification learning.
@en
Rule-plus-exception model of classification learning.
@nl
type
label
Rule-plus-exception model of classification learning.
@en
Rule-plus-exception model of classification learning.
@nl
prefLabel
Rule-plus-exception model of classification learning.
@en
Rule-plus-exception model of classification learning.
@nl
P2093
P1433
P1476
Rule-plus-exception model of classification learning.
@en
P2093
McKinley SC
Nosofsky RM
Palmeri TJ
P356
10.1037/0033-295X.101.1.53
P577
1994-01-01T00:00:00Z