ALCOVE: An exemplar-based connectionist model of category learning. 论文
1992Psychological Review引用 1625
Child and Animal Learning DevelopmentDomain Adaptation and Few-Shot LearningReading and Literacy Development
详细信息
- 发表期刊/会议
- Psychological Review
- 发表日期
- 1992-01-01
- 发表年份
- 1992
关键词
Child and Animal Learning DevelopmentDomain Adaptation and Few-Shot LearningReading and Literacy Development
摘要
ALCOVE (attention learning covering map) is a connectionist model of category learning that incorporates an exemplar-based representation (Medin & Schaffer, 1978; Nosofsky, 1986) with error-driven learning (Gluck & Bower, 1988; Rumelhart, Hinton, & Williams, 1986). Alcove selectively attends to relevant stimulus dimensions, is sensitive to correlated dimensions, can account for a form of base-rate neglect, does not suffer catastrophic forgetting, and can exhibit 3-stage (U-shaped) learning of high-frequency exceptions to rules, whereas such effects are not easily accounted for by models using other combinations of representation and learning method.