Suppr超能文献

认知完整性可预测传递性推理表现偏差和成功率。

Cognitive integrity predicts transitive inference performance bias and success.

作者信息

Moses Sandra N, Villate Christina, Binns Malcolm A, Davidson Patrick S R, Ryan Jennifer D

机构信息

Rotman Research Institute, Baycrest Centre for Geriatric Care, 3560 Bathurst Street, Toronto, Ontario M6A 2E1, Canada.

出版信息

Neuropsychologia. 2008 Apr;46(5):1314-25. doi: 10.1016/j.neuropsychologia.2007.12.009. Epub 2007 Dec 23.

Abstract

Transitive inference has traditionally been regarded as a relational proposition-based reasoning task, however, recent investigations question the validity of this assumption. Although some results support the use of a relational proposition-based approach, other studies find evidence for the use of associative learning. We examined whether participants are biased towards a relational proposition-based approach, or associative learning, depending upon the integrity of other cognitive abilities supported by frontal and medial temporal lobes. We found that transitive inference success and strategy use are related to tasks that require processing of, and memory for, relations. Participants who showed superior memory for relations among items showed superior transitive inference accuracy, and conversely, participants who showed superior memory for single items showed inferior transitive inference accuracy. Participants who demonstrated performance patterns indicative of a proposition-based approach showed more accurate inference performance, and superior memory for, and online access to, relations among items. Participants who demonstrated performance patterns indicative of associative learning showed inferior transitive inference accuracy and superior iconic/pictorial abilities. We speculate that transitive inference performance is mediated by interactions among multiple cognitive systems that support different aspects of processing, from which the degree of contribution varies depending on underlying cognitive/neural integrity.

摘要

传递性推理传统上被视为一种基于关系命题的推理任务,然而,最近的研究对这一假设的有效性提出了质疑。尽管一些结果支持使用基于关系命题的方法,但其他研究发现了使用联想学习的证据。我们研究了参与者是否会根据额叶和颞中叶支持的其他认知能力的完整性,偏向于基于关系命题的方法或联想学习。我们发现传递性推理的成功和策略使用与需要处理关系并对关系进行记忆的任务有关。对项目间关系记忆较好的参与者,传递性推理准确性较高;相反,对单个项目记忆较好的参与者,传递性推理准确性较低。表现出基于命题方法的表现模式的参与者,推理表现更准确,对项目间关系的记忆更好,并且能够在线获取这些关系。表现出联想学习表现模式的参与者,传递性推理准确性较低,但具有较强的图像/图形能力。我们推测,传递性推理表现是由多个认知系统之间的相互作用介导的,这些系统支持处理的不同方面,其中各系统的贡献程度因潜在的认知/神经完整性而异。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验