A wealth of recent studies have demonstrated that predictive cues involved in a linearly solvable component discrimination gain associability in subsequent learning relative to nonpredictive cues. In contrast, contradictory findings have been reported about the fate of cues involved in learning biconditional discriminations in which the cues are relevant but none are individually predictive of a specific outcome. In 3 experiments we examined the transfer of learning from component and biconditional discriminations in a within-subjects design. The results show a greater benefit in associability for cues that had previously served as predictive cues in a component discrimination than cues previously used in a biconditional discrimination. Further, new biconditional discriminations were learned faster when they were composed of cues that were previously trained in separate biconditional discriminations. Similarly, new component discriminations were learned faster when they were composed of cues that were previously trained in a separate component discriminations irrespective of whether they were previously predictive or previously nonpredictive. These results provide novel evidence that cue-specific learning of relational structure affects subsequent learning, suggesting changes in cue processing that go beyond simple changes in cue associability based on learned predictiveness. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

中文翻译：

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人类联想学习中的联想能力和关系结构的转移。

大量最新研究表明，与非预测线索相比，参与线性可解成分歧视的预测线索在后续学习中具有关联性。相反，已经报道了与学习双条件歧视有关的线索的命运相矛盾的发现，在这种情况下，线索是相关的，但没有一个可以单独预测特定的结果。在3个实验中，我们研究了主题内设计中从成分和双条件歧视中学习的转移。结果表明，与以前在双条件判别中使用的线索相比，以前在组件判别中用作预测线索的线索在关联性上有更大的好处。进一步，当新的双条件歧视由先前在单独的双条件歧视中受过训练的线索组成时，它们的学习速度就会更快。类似地，当新的成分识别由先前在单独的成分识别中训练的线索组成时，不管它们是先前的预测还是先前的非预测，它们的学习速度都更快。这些结果提供了新的证据，即关系结构的特定于线索的学习会影响后续的学习，表明线索处理中的变化超出了基于学习的预测性的线索关联性的简单变化。（PsycINFO数据库记录（c）2019 APA，保留所有权利）。当新的成分识别由以前在单独的成分识别中训练过的线索组成时，不管它们是先前预测的还是先前预测的，新的成分识别的学习速度都更快。这些结果提供了新的证据，即关系结构的特定于线索的学习会影响后续的学习，表明线索处理中的变化超出了基于学习的预测性的线索关联性的简单变化。（PsycINFO数据库记录（c）2019 APA，保留所有权利）。当新的成分识别由以前在单独的成分识别中训练过的线索组成时，不管它们是先前预测的还是先前预测的，新的成分识别的学习速度都更快。这些结果提供了新的证据，即关系结构的特定于线索的学习会影响后续的学习，表明线索处理中的变化超出了基于学习的预测性的线索关联性的简单变化。（PsycINFO数据库记录（c）2019 APA，保留所有权利）。提出了提示处理方面的变化，这些变化超出了基于学习的预测性的提示关联性的简单变化。（PsycINFO数据库记录（c）2019 APA，保留所有权利）。建议根据学习的预测性，进行提示处理方面的更改，而不仅仅是更改提示关联性。（PsycINFO数据库记录（c）2019 APA，保留所有权利）。