Department of Psychology, Northwestern University, 2029 Sheridan Road, 60208, Evanston, IL,
Psychon Bull Rev. 1994 Jun;1(2):250-4. doi: 10.3758/BF03200776.
Two experiments are described in which different groups of participants saw the same examples in different orders and then were given an old-new recognition test. The learning and test examples were created from different combinations from four binary-valued dimensions. One order (small change) was constructed to maximize the similarity between successive examples, and the other order (large change) minimized the similarity across successive examples. The small change condition was consistently associated with better old-new recognition than the large change condition was. These results are discussed in terms of exemplar-guided encoding and models of category generalization.
本文描述了两个实验，不同组的参与者以不同的顺序观看了相同的示例，然后进行了旧-新识别测试。学习和测试示例是由四个二值维度的不同组合创建的。一个顺序（小变化）被构建为最大化连续示例之间的相似性，而另一个顺序（大变化）最小化连续示例之间的相似性。小变化条件与更好的旧-新识别相关，而大变化条件则不然。这些结果是根据范例引导编码和类别泛化模型进行讨论的。
