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Evaluating three criteria for establishing cue-search hierarchies in inferential judgment

机译:评估推论判断中建立提示搜索层次的三个标准

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摘要

The authors identify and provide an integration of 3 criteria for establishing cue-search hierarchies in inferential judgment. Cues can be ranked by information value according to expected information gain (Bayesian criterion), cue-outcome correlation (correlational criterion), or ecological validity (accuracy criterion). All criteria significantly predicted information acquisition behavior; however, in 3 experiments, the most successful predictor was the correlational criterion (followed by the Bayesian). Although participants showed sensitivity to task constraints, searching for less information when it was more expensive (Experiment 1) and when under time constraints (Experiment 2), concomitant changes in the relative frequency of acquisition of cues with different information values were not observed. A rational analysis illustrates why such changes in the frequency of acquisition would be beneficial, and reasons for the failure to observe such behavior are discussed.
机译:作者确定并提供了3个标准的综合,以建立推理推断中的提示搜索层次。可以根据预期的信息增益(贝叶斯标准),提示结果相关性(相关性标准)或生态有效性(准确性标准)按信息值对提示进行排序。所有标准均显着预测了信息获取行为;但是,在3个实验中,最成功的预测因子是相关标准(贝叶斯算法)。尽管参与者表现出对任务约束的敏感性,但在价格昂贵时(实验1)和在时间约束下(实验2)搜索较少的信息,却未观察到具有不同信息值的线索的相对频率的随之变化。合理的分析说明了为什么这种获取频率的变化将是有益的,并讨论了未能观察到这种行为的原因。

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