Recognising relations: What can be learned from considering complexity

被引:6
作者
Livins, Katherine A. [1 ]
Doumas, Leonidas A. A. [2 ]
机构
[1] Univ Calif Merced, Dept Cognit & Informat Sci, Merced, CA 95343 USA
[2] Univ Edinburgh, Sch Philosophy Psychol & Language Sci, Edinburgh, Midlothian, Scotland
关键词
Mental representation; Relational recognition; Relational complexity; Analogy; Relational reasoning; INTEGRATION; SIMILARITY;
D O I
10.1080/13546783.2014.954000
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Analogy is an important cognitive process that has been researched extensively. Functional accounts of it typically involve at least four stages of processing (access, mapping, transfer, and evaluation); however, these accounts take the way in which the base analogue is understood, along with its relational structure, for granted. The goal of this paper is to open up a discussion about how this process (which we will call "relational recognition") may occur. To this end, this paper describes two experiments that vary the level of relational complexity across exemplars. It was found that relational recognition tasks benefit from increased complexity, while mapping tasks suffer from it.
引用
收藏
页码:251 / 264
页数:14
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