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| Title | Knowledge Partitioning in Categorization: Constraints on Exemplar Models |
| Creator | Yang, Lee-Xieng;Lewandowsky, Stephan 楊立行 |
| Contributor | 心理系 |
| Date | 2004 |
| Date Issued | 8-Apr-2015 16:10:37 (UTC+8) |
| Summary | 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. |
| Relation | Journal of Experimental Psychology-learning Memory and Cognition - J EXP PSYCHOL-LEARN MEM COGN , vol. 30, no. 5, pp. 1045-1064 |
| Type | 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) | article | en |
| dc.identifier.doi (DOI) | 10.1037/0278-7393.30.5.1045 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1037/0278-7393.30.5.1045 | en_US |