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Base-Rate Neglect as a Function of Base Rates in Probabilistic Contingency Learning

机译:概率权变学习中基准利率忽略与基准利率的关系

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摘要

When humans predict criterion events based on probabilistic predictors, they often lend excessive weight to the predictor and insufficient weight to the base rate of the criterion event. In an operant analysis, using a matching-to-sample paradigm, showed that humans exhibit base-rate neglect when predictors are associated with criterion events through physical similarity. In partial replications of their studies, we demonstrated similar effects when the predictors resembled the criterion events in terms of similarly skewed base rates. Participants' predictions were biased toward the more (or less) frequent criterion event following the more (or less) frequent predictor. This finding adds to the growing evidence for pseudocontingencies (), a framework that stresses base-rate influences on contingency learning.
机译:当人们根据概率预测因子预测标准事件时,他们通常会给预测因子过多的权重,而对标准事件的基本发生率却没有足够的权重。在操作分析中,使用“样本匹配”范式表明,当预测变量通过物理相似性与标准事件相关联时,人类表现出基本速率的忽略。在他们的研究的部分重复中,当预测变量以相似的偏斜基准率类似于标准事件时,我们证明了相似的效果。参与者的预测偏向于更多(或更少)频繁预测指标之后的更多(或更少)频繁标准事件。这一发现为伪意外事件()提供了越来越多的证据,该框架强调了基本率对偶然性学习的影响。

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