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Asymmetry of generalization decrement in causal learning

机译:因果学习中泛化递减的不对称性

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摘要

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).
机译:两项实验要求志愿者了解各种“飞机”中的哪一种造成了高水平的污染。然后将新的测试项目评定为污染原因。通过添加新功能创建的项目的评分与原始培训项目的级别相同,但是通过删除功能创建的项目的评分降低。普遍性递减的这种不对称性不是通过众所周知的刺激表示结构模型(Pearce,1987,1994)来预测的,而是通过最近提出的刺激表示模型,即替换元素模型(Brandon,Vogel,Wagner,2000)来预测的。 )。

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