因果学习中泛化衰减的不对称性。

Steven Glautier
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引用次数: 21

摘要

两项实验要求志愿者了解各种“飞机”中哪一种造成了高水平的污染。然后,新的测试项目被评为污染原因。通过添加新特征创建的项目与原始训练项目的评级相同,但通过删除特征创建的项目的评级降低。众所周知的刺激表征结构模型(Pearce, 1987, 1994)并没有预测到这种泛化衰减的不对称性,但最近提出的刺激表征模型——替代元素模型(Brandon, Vogel, & Wagner, 2000)预测了这种不对称性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asymmetry of generalization decrement in causal learning.

Two experiments required volunteers to learn which of various "planes" caused high levels of pollution. Novel test items were then rated as causes of pollution. Items created by adding novel features were rated at the same level as that of the original training items but items created by removing features received reduced ratings. This asymmetry of generalization decrement was not predicted by a well-known configural model of stimulus representation (Pearce, 1987, 1994) but was predicted by a recently proposed model of stimulus representation, the replaced-elements model (Brandon, Vogel, & Wagner, 2000).

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