The relative effect of cue interaction.

Jason M Tangen, Lorraine G Allan
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引用次数: 17

Abstract

It is well established that two predictor cues (A and B) of a common outcome interact in that the judgement of the relationship between each cue and the outcome is influenced by the pairing history of the other cue with that outcome. For example, when the contingency of A with an outcome is weaker than the contingency of B with that outcome, the rating of the predictiveness of A is reduced relative to a situation where only A is paired with the outcome. One explanation of such cue interaction effects is provided by the conditional deltaP account. Spellman (1996b) derived a counterintuitive prediction of the conditional deltaP account where cue interaction should not occur under certain conditions even though a relatively poor predictor of an outcome is paired with a relatively good predictor of that outcome. However, Spellman (1996b) did not provide data to evaluate this prediction. In the present paper, we report the relevant data and show that they are consistent with the conditional deltaP account. A competing account of cue interaction is provided by the Rescorla-Wagner (RW) model. We derive the predictions of the RW model for the conditions specified by Spellman (1996b), and show that at asymptote the predictions of the RW model are identical to those of the conditional deltaP account.

线索相互作用的相对效应。
众所周知,共同结果的两个预测线索(A和B)相互作用,因为对每个线索和结果之间关系的判断受到另一个线索与该结果的配对历史的影响。例如,当A与某个结果的偶然性比B与该结果的偶然性弱时,相对于只有A与该结果配对的情况,A的可预测性评级会降低。条件deltaP帐户提供了这种线索交互作用的一种解释。Spellman (1996b)对条件deltaP帐户得出了一个反直觉的预测,即在某些条件下,即使对结果的相对较差的预测器与对该结果的相对较好的预测器配对,线索交互也不应该发生。然而,Spellman (1996b)没有提供数据来评估这一预测。在本文中,我们报告了相关数据,并表明它们与条件deltaP帐户一致。Rescorla-Wagner (RW)模型提供了线索相互作用的竞争性解释。我们推导了由Spellman (1996b)指定的条件下RW模型的预测,并表明在渐近线处RW模型的预测与条件deltaP帐户的预测相同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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