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延迟反馈会干扰程序性学习系统,但不会干扰知觉类别学习中的假设检验系统。

Delayed feedback disrupts the procedural-learning system but not the hypothesis-testing system in perceptual category learning.

作者信息

Maddox W Todd, Ing A David

机构信息

Department of Psychology, University of Texas, Austin, Austin, TX 78712, USA.

出版信息

J Exp Psychol Learn Mem Cogn. 2005 Jan;31(1):100-7. doi: 10.1037/0278-7393.31.1.100.

Abstract

W. T. Maddox, F. G. Ashby, and C. J. Bohil (2003) found that delayed feedback adversely affects information-integration but not rule-based category learning in support of a multiple-systems approach to category learning. However, differences in the number of stimulus dimensions relevant to solving the task and perceptual similarity failed to rule out 2 single-system interpretations. The authors conducted an experiment that remedied these problems and replicated W. T. Maddox et al.'s findings. The experiment revealed a strong performance decrement for information-integration but not rule-based category learning under delayed feedback that was due to an increase in the number of observers using hypothesis-testing strategies to solve the information-integration task, and lower accuracy rates for the few observers using information-integration strategies.

摘要

W. T. 马多克斯、F. G. 阿什比和C. J. 博希尔(2003年)发现,延迟反馈会对信息整合产生不利影响,但对基于规则的类别学习没有影响,这支持了类别学习的多系统方法。然而,与解决任务相关的刺激维度数量和感知相似性方面的差异未能排除两种单系统解释。作者进行了一项实验,纠正了这些问题并重复了W. T. 马多克斯等人的研究结果。该实验表明,在延迟反馈下,信息整合的表现大幅下降,但基于规则的类别学习没有下降,这是由于使用假设检验策略来解决信息整合任务的观察者数量增加,以及使用信息整合策略的少数观察者的准确率较低。

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