Dimensional information facilitates the utilization of configural information: A test of the Castellan-Edgell and the Gluck-Bower models.
Dimensional information facilitates the utilization of configural information: A test of the Castellan-Edgell and the Gluck-Bower models.
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维度信息有利于配置信息的利用：Castellan-Edgell 和 Gluck-Bower 模型的测试。
DOI：
10.1037/0278-7393.21.6.1495
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
Robert M. Roe
中科院分区：
文献类型：
--
作者：
S. Edgell;Robert M. Roe
在4个涉及概率环境（非度量多线索概率学习环境）的实验中，作者发现，当任何相关维度都是相关模式的一部分时，相关构形信息的利用都更容易。在没有相关维度的环境中，相关配置信息的利用率与模式包含相关维度时一样高。对于两个相关的维度，相关模式中的维度比不在相关模式中的维度得到了更高的利用。NJ Castellan和SE Edgell（1973）的假设检验模型和MA Gluck和GH Bower （1988a）的联结主义模型都无法拟合研究结果的几个方面。
In 4 experiments involving learning in a probabilistic environment (a nonmetric multiple-cue probability learning environment) the authors found that utilization of relevant configural information was facilitated when any relevant dimensions were part of the relevant pattern. Relevant configural information in an environment with no relevant dimensions was as highly utilized as when the pattern contained the relevant dimension. With two relevant dimensions, the dimension within the relevant pattern was more highly utilized than the dimension not in the relevant pattern. Both NJ Castellan and SE Edgell's (1973) hypothesis testing model and MA Gluck and GH Bower's (1988a) connectionist model were unable to fit several aspects of the findings.