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类比推理和再认记忆中的关系和词汇相似性:行为证据和计算评估。

Relational and lexical similarity in analogical reasoning and recognition memory: Behavioral evidence and computational evaluation.

机构信息

Department of Psychology, University of California, Los Angeles, United States of America.

Department of Psychological and Brain Sciences, Dartmouth College, United States of America.

出版信息

Cogn Psychol. 2023 Mar;141:101550. doi: 10.1016/j.cogpsych.2023.101550. Epub 2023 Jan 30.

Abstract

We examined the role of different types of similarity in both analogical reasoning and recognition memory. On recognition tasks, people more often falsely report having seen a recombined word pair (e.g., flower: garden) if it instantiates the same semantic relation (e.g., is a part of) as a studied word pair (e.g., house: town). This phenomenon, termed relational luring, has been interpreted as evidence that explicit relation representations-known to play a central role in analogical reasoning-also impact episodic memory. We replicate and extend previous studies, showing that relation-based false alarms in recognition memory occur after participants encode word pairs either by making relatedness judgments about individual words presented sequentially, or by evaluating analogies between pairs of word pairs. To test alternative explanations of relational luring, we implemented an established model of recognition memory, the Generalized Context Model (GCM). Within this basic framework, we compared representations of word pairs based on similarities derived either from explicit relations or from lexical semantics (i.e., individual word meanings). In two experiments on recognition memory, best-fitting values of GCM parameters enabled both similarity models (even the model based solely on lexical semantics) to predict relational luring with comparable accuracy. However, the model based on explicit relations proved more robust to parameter variations than that based on lexical similarity. We found this same pattern of modeling results when applying GCM to an independent set of data reported by Popov, Hristova, and Anders (2017). In accord with previous work, we also found that explicit relation representations are necessary for modeling analogical reasoning. Our findings support the possibility that explicit relations, which are central to analogical reasoning, also play an important role in episodic memory.

摘要

我们考察了不同类型相似性在类比推理和再认记忆中的作用。在再认任务中,如果一个重组的词对(例如,flower: garden)与学习过的词对(例如,house: town)体现出相同的语义关系(例如,是一部分),人们更经常错误地报告曾经见过这个词对。这种现象被称为关系诱引,它被解释为明确的关系表示(已知在类比推理中起核心作用)也会影响情节记忆的证据。我们复制并扩展了之前的研究,表明在参与者通过对逐个呈现的单词进行相关性判断,或者通过评估单词对之间的类比来对单词对进行编码后,再认记忆中的基于关系的错误警报会发生。为了测试关系诱引的替代解释,我们实施了一种已建立的再认记忆模型,即广义上下文模型(GCM)。在这个基本框架内,我们根据源自明确关系或词汇语义(即单个单词含义)的相似性来比较单词对的表示。在两项关于再认记忆的实验中,GCM 参数的最佳拟合值使两种相似性模型(甚至是仅基于词汇语义的模型)都可以以相当的准确性来预测关系诱引。但是,基于明确关系的模型比基于词汇相似性的模型更能抵抗参数变化。当我们将 GCM 应用于 Popov、Hristova 和 Anders(2017 年)报告的独立数据集时,我们发现了相同的建模结果模式。与之前的工作一致,我们还发现,明确的关系表示对于模拟类比推理是必要的。我们的研究结果支持了这样一种可能性,即类比推理中的明确关系对于情节记忆也起着重要作用。

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