School of Psychology, University of Hull.
School of Psychology, Cardiff University.
J Exp Psychol Anim Learn Cogn. 2024 Jul;50(3):161-185. doi: 10.1037/xan0000380. Epub 2024 Apr 22.
Elemental models of associative learning typically employ a common prediction-error term. Following a conditioning trial, they predict that the change in the strength of an association between a cue and an outcome is dependent upon how well the outcome was predicted. When multiple cues are present, they each contribute to that prediction. The same rule applies both to increases in associative strength during excitatory conditioning and the loss of associative strength during extinction. In five experiments using an allergy prediction task, we tested the involvement of a common error term in the extinction of causal learning. Two target cues were each paired with an outcome prior to undergoing extinction in compound either with a second excitatory cue or with a cue that had previously undergone extinction in isolation. At test, there was no difference in the causal ratings of the two target cues. Manipulations designed to bias participants toward elemental processing of cue compounds, to promote the acquisition of inhibitory associations, or to reduce generalization decrement between training and test were each without effect. These results are not consistent with common error term models of associative learning. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
联想学习的元素模型通常采用共同的预测误差项。在条件试验之后,它们预测到,线索与结果之间的关联强度的变化取决于结果的预测程度。当存在多个线索时,它们都会对该预测做出贡献。同样的规则既适用于兴奋性条件作用过程中联想强度的增加,也适用于消退过程中联想强度的丧失。在使用过敏预测任务的五个实验中,我们测试了共同误差项在因果学习消退中的参与情况。在复合消退之前,每个目标线索都与一个结果配对,要么与第二个兴奋性线索配对,要么与单独经历过消退的线索配对。在测试中,两个目标线索的因果评分没有差异。旨在使参与者偏向于线索复合的元素处理、促进抑制性关联的获得或减少训练与测试之间的泛化衰减的操纵均没有效果。这些结果与联想学习的共同误差项模型不一致。