Nicholas Ichien , Katherine L. Alfred , Sophia Baia , David J.M. Kraemer , Keith J. Holyoak , Silvia A. Bunge , Hongjing Lu
{"title":"Relational and lexical similarity in analogical reasoning and recognition memory: Behavioral evidence and computational evaluation","authors":"Nicholas Ichien , Katherine L. Alfred , Sophia Baia , David J.M. Kraemer , Keith J. Holyoak , Silvia A. Bunge , Hongjing Lu","doi":"10.1016/j.cogpsych.2023.101550","DOIUrl":null,"url":null,"abstract":"<div><p>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., <em>flower: garden</em>) if it instantiates the same semantic relation (e.g., <em>is a part of</em>) as a studied word pair (e.g., <em>house: town</em>). This phenomenon, termed <em>relational luring</em>, 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 <em>both</em> 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 <span>Popov, Hristova, and Anders (2017)</span>. 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.</p></div>","PeriodicalId":50669,"journal":{"name":"Cognitive Psychology","volume":"141 ","pages":"Article 101550"},"PeriodicalIF":3.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Psychology","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0010028523000087","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Cognitive Psychology is concerned with advances in the study of attention, memory, language processing, perception, problem solving, and thinking. Cognitive Psychology specializes in extensive articles that have a major impact on cognitive theory and provide new theoretical advances.
Research Areas include:
• Artificial intelligence
• Developmental psychology
• Linguistics
• Neurophysiology
• Social psychology.