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请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/74401

题名:	Knowledge Partitioning in Categorization: Constraints on Exemplar Models
作者:	Yang, Lee-Xieng;Lewandowsky, Stephan 楊立行
贡献者:	心理系
日期:	2004
上传时间:	2015-04-08 16:10:37 (UTC+8)
摘要:	The authors present 2 experiments that establish the presence of knowledge partitioning in perceptual categorization. Many participants learned to rely on a context cue, which did not predict category membership but identified partial boundaries, to gate independent partial categorization strategies. When participants partitioned their knowledge, a strategy used in 1 context was unaffected by knowledge demonstrably present in other contexts. An exemplar model, attentional learning covering map, was shown to be unable to accommodate knowledge partitioning. Instead, a mixture-of-experts model, attention to rules and instances in a unified model (ATRIUM), could handle the results. The success of ATRIUM resulted from its assumption that people memorize not only exemplars but also the way in which they are to be classified.
關聯:	Journal of Experimental Psychology-learning Memory and Cognition - J EXP PSYCHOL-LEARN MEM COGN , vol. 30, no. 5, pp. 1045-1064
数据类型:	article
DOI 連結:	http://dx.doi.org/10.1037/0278-7393.30.5.1045
DOI:	10.1037/0278-7393.30.5.1045
显示于类别:	[心理學系] 期刊論文

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0278-7393.30.5.1045.pdf		599Kb	Adobe PDF2	973	检视/开启

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