1. NCCU Academic Hub
  2. 學術產出
  3. College of Science
  4. Periodical Articles
  5. Item

學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 Knowledge Partitioning in Categorization: Constraints on Exemplar Models
作者 Yang, Lee-Xieng;Lewandowsky, Stephan
楊立行
貢獻者 心理系
日期 2004
上傳時間 8-Apr-2015 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
資料類型 article
DOI http://dx.doi.org/10.1037/0278-7393.30.5.1045
dc.contributor 心理系
dc.creator (作者) Yang, Lee-Xieng;Lewandowsky, Stephan
dc.creator (作者) 楊立行zh_TW
dc.date (日期) 2004
dc.date.accessioned 8-Apr-2015 16:10:37 (UTC+8)-
dc.date.available 8-Apr-2015 16:10:37 (UTC+8)-
dc.date.issued (上傳時間) 8-Apr-2015 16:10:37 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/74401-
dc.description.abstract (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.
dc.format.extent 614126 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Journal of Experimental Psychology-learning Memory and Cognition - J EXP PSYCHOL-LEARN MEM COGN , vol. 30, no. 5, pp. 1045-1064
dc.title (題名) Knowledge Partitioning in Categorization: Constraints on Exemplar Models
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1037/0278-7393.30.5.1045en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1037/0278-7393.30.5.1045 en_US