Function learning: induction of continuous stimulus-response relations.
Function learning: induction of continuous stimulus-response relations.
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功能学习：连续刺激-反应关系的归纳。
DOI：
10.1037//0278-7393.17.5.811
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发表时间：
1991
期刊：
影响因子：
--
通讯作者：
Meyer,DE
中科院分区：
文献类型：
--
作者：
Koh,K;Meyer,DE
这项研究调查了当从另一个维度(空间范围)给出刺激幅度时，人们是如何学会沿着一个物理维度(持续时间)选择特定的反应幅度的。刺激和正确反应通过幂函数、对数函数或具有正截距的线性函数来关联。快速而准确地学习了幂函数。相反，系统性反应偏差发生在学习对数和线性函数的早期阶段。然而，随着实践的发展，这些偏见逐渐消失。这些结果支持自适应回归模型。根据它，人们通过类似于统计回归的主观过程来学习函数。假设有一个初始约束，该约束将刺激-反应对视为幂函数来表征它们。
This research investigates how people learn to select particular response magnitudes along one physical dimension (duration) when given stimulus magnitudes from another dimension (spatial extent). Stimuli and correct responses were related by either a power function, a logarithmic function, or a linear function with a positive intercept. The power function was learned quickly and accurately. In contrast, systematic response biases occurred during the early phases of learning the logarithmic and linear functions. As practice progressed, however, the biases gradually disappeared. These results support an adaptive regression model. According to it, people learn functions through a subjective process analogous to statistical regression. There is assumed to be an initial constraint that treats stimulus–response pairs as if a power function characterizes them.