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Relational framework improves transitive inference across age groups

机译:关系框架改善了跨年龄组的传递推理

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Transitive inference is a complex task, condu-cive to the use of multiple strategies. We investigated whether transitive inference accuracy can be improved bybiasing strategy choice towards a proposition-based approach that relies on the extraction of relations among stimuli. We biased strategy choice by using familiar stimuli with known relations that tap prior knowledge. Semantic information led to increased accuracy for younger and older adults, and increased awareness of stimulus relations. Increased age was associated with reduced awareness. Awareness accounted for the variability in performance accuracy to a greater extent than age, as aware older and younger adults showed similar accuracies on all conditions. The current work indicates that age differences in performance can be minimized by providing semantically meaningful stimuli that bias participants to use a relational proposition-based approach.
机译:传递推理是一项复杂的任务,有助于使用多种策略。我们研究了通过将策略选择偏向一种基于命题的,依赖于刺激之间关系提取的方法,可以提高传递推理的准确性。我们通过使用熟悉的,具有利用先验知识的已知关系的刺激来偏向策略选择。语义信息导致年轻人和老年人的准确性提高,并增强了对刺激关系的认识。年龄增加与意识下降有关。意识在比年龄更大的程度上解释了表现准确性的差异,因为意识到的老年人和年轻人在所有情况下都显示出相似的准确性。当前的工作表明,可以通过提供语义上有意义的刺激来使参与者的年龄差异最小化,这些刺激会使参与者偏向使用基于关系命题的方法。

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