CUE COMPETITION EFFECTS - EMPIRICAL TESTS OF ADAPTIVE NETWORK LEARNING-MODELS
CUE COMPETITION EFFECTS - EMPIRICAL TESTS OF ADAPTIVE NETWORK LEARNING-MODELS
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DOI：
10.1111/j.1467-9280.1993.tb00486.x
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发表时间：
1993-05-01
影响因子：
8.2
通讯作者：
MCDANIEL, MA
中科院分区：
文献类型：
--
作者：
BUSEMEYER, JR;MYUNG, IJ;MCDANIEL, MA
根据先前的经验和当前的环境线索来预测未来后果的能力是所有认知过程中最基本的之一。这项研究调查了一个线索的有效性如何影响另一个线索预测标准的有效性。结果证明了线索竞争效应——在线性预测任务中，增加一个线索的有效性会降低另一个线索的有效性，即使这两个线索在统计上是独立的。
The ability to predict future consequences on the basis of previous experience with the current set of environmental cues is one of the most fundamental of all cognitive processes. This study investigated how the validity of one cue influences the effectiveness of another cue for predicting a criterion. The results demonstrate a cue competition effect-increasing the validity of one cue decreased the effectiveness of another cue in a linear prediction task, even though the two cues were statistically independent.