类比
相似性(几何)
学习迁移
集合(抽象数据类型)
人工智能
计算机科学
钥匙(锁)
分解
认知科学
心理学
语言学
哲学
生物
生态学
图像(数学)
程序设计语言
计算机安全
出处
期刊:Cambridge University Press eBooks
[Cambridge University Press]
日期:1989-07-28
卷期号:: 199-241
被引量:1071
标识
DOI:10.1017/cbo9780511529863.011
摘要
It is widely accepted that similarity is a key determinant of transfer. In this chapter I suggest that both of these venerable terms – similarity and transfer – refer to complex notions that require further differentiation. I approach the problem by a double decomposition: decomposing similarity into finer subclasses and decomposing learning by similarity and analogy into a set of component subprocesses.
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