Within-category discontinuity interacts with verbal rule complexity in perceptual category learning.
Within-category discontinuity interacts with verbal rule complexity in perceptual category learning.
复制标题
类别内的不连续性与感知类别学习中的言语规则复杂性相互作用。
DOI：
10.1037/0278-7393.33.1.197
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Lauritzen,JScott
中科院分区：
文献类型：
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作者：
Maddox,WTodd;Filoteo,JVincent;Lauritzen,JScott
本研究考察了类内不连续性和言语规则复杂性对信息整合和基于规则的类别学习的预测交互作用。类内不连续性对信息整合类学习有负面影响，但对规则类学习无负面影响。基于模型的分析表明，一些信息整合的参与者通过招募更多的“单位”在不连续的条件下提高性能。言语规则的复杂性对基于规则的类别学习产生不利影响，但对信息整合的类别学习没有影响。基于模型的分析表明，基于规则的效果是决策标准的学习和决策标准的位置的变化。这些结果表明，类别内的不连续性和决策规则的复杂性差异影响信息整合和基于规则的类别学习，并提供有关这两个拟议的类别学习系统的详细处理特征的信息。（PsycINFO数据库记录（c）2016阿帕，保留所有权利）
A test of the predicted interaction between within-category discontinuity and verbal rule complexity on information-integration and rule-based category learning was conducted. Within-category discontinuity adversely affected information-integration category learning but not rule-based category learning. Model-based analyses suggested that some information-integration participants improved performance by recruiting more" units" in the discontinuous condition. Verbal rule complexity adversely affected rule-based category learning but not information-integration category learning. Model-based analyses suggested that the rule based effect was on both decision criterion learning and variability in decision criterion placement. These results suggest that within-category discontinuity and decision rule complexity differentially impact information-integration and rule-based category learning and provide information regarding the detailed processing characteristics of these two proposed category learning systems.(PsycINFO Database Record (c) 2016 APA, all rights reserved)