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Do item-dependent context representations underlie serial order in cognition? Commentary on Logan (2021).
Psychological Review ( IF 5.4 ) Pub Date : 2022-01-31 , DOI: 10.1037/rev0000352
Adam F Osth 1 , Mark J Hurlstone 2
Affiliation  

Logan (2021) presented an impressive unification of serial order tasks including whole report, typing, and serial recall in the form of the context retrieval and updating (CRU) model. Despite the wide breadth of the model’s coverage, its reliance on encoding and retrieving context representations that consist of the previous items may prevent it from being able to address a number of critical benchmark findings in the serial order literature that have shaped and constrained existing theories. In this commentary, we highlight three major challenges that motivated the development of a rival class of models of serial order, namely positional models. These challenges include the mixed-list phonological similarity effect, the protrusion effect, and interposition errors in temporal grouping. Simulations indicated that CRU can address the mixed-list phonological similarity effect if phonological confusions can occur during its output stage, suggesting that the serial position curves from this paradigm do not rule out models that rely on interitem associations, as has been previously been suggested. The other two challenges are more consequential for the model’s representations, and simulations indicated the model was not able to provide a complete account of them. We highlight and discuss how revisions to CRU’s representations or retrieval mechanisms can address these phenomena and emphasize that a fruitful direction forward would be to either incorporate positional representations or approximate them with its existing representations.

中文翻译:

项目相关的上下文表示是否构成认知中序列顺序的基础?评论洛根 (2021)。

Logan (2021) 以上下文检索和更新 (CRU) 模型的形式展示了一系列顺序任务的令人印象深刻的统一,包括整个报告、打字和连续回忆。尽管该模型的覆盖范围很广,但它对编码和检索由先前项目组成的上下文表示的依赖可能会阻止它解决序列顺序文献中塑造和限制现有理论的许多关键基准发现。在这篇评论中,我们强调了三个主要挑战,这些挑战推动了一系列竞争性序列模型的发展,即位置模型。这些挑战包括混合列表的语音相似性效应、突出效应和时间分组中的插入错误。模拟表明,如果在其输出阶段可能发生语音混淆,CRU 可以解决混合列表语音相似性效应,这表明该范例的序列位置曲线不排除依赖项目间关联的模型,正如之前所建议的那样。另外两个挑战对模型的表示更为重要,模拟表明模型无法提供对它们的完整说明。我们强调并讨论了对 CRU 的表示或检索机制的修订如何解决这些现象,并强调一个富有成效的前进方向是合并位置表示或将它们与其现有表示近似。这表明该范例的序列位置曲线不排除依赖项目间关联的模型,正如之前所建议的那样。另外两个挑战对模型的表示更为重要,模拟表明模型无法提供对它们的完整说明。我们强调并讨论了对 CRU 的表示或检索机制的修订如何解决这些现象,并强调一个富有成效的前进方向是合并位置表示或将它们与其现有表示近似。这表明该范例的序列位置曲线不排除依赖项目间关联的模型,正如之前所建议的那样。另外两个挑战对模型的表示更为重要,模拟表明模型无法提供对它们的完整说明。我们强调并讨论了对 CRU 的表示或检索机制的修订如何解决这些现象,并强调一个富有成效的前进方向是合并位置表示或将它们与其现有表示近似。模拟表明该模型无法提供对它们的完整描述。我们强调并讨论了对 CRU 的表示或检索机制的修订如何解决这些现象,并强调一个富有成效的前进方向是合并位置表示或将它们与其现有表示近似。模拟表明该模型无法提供对它们的完整描述。我们强调并讨论了对 CRU 的表示或检索机制的修订如何解决这些现象,并强调一个富有成效的前进方向是合并位置表示或将它们与其现有表示近似。
更新日期:2022-01-31
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