Acheson Daniel J, MacDonald Maryellen C
Department of Psychology, University of Wisconsin, Madison, WI 53706, USA.
Psychol Bull. 2009 Jan;135(1):50-68. doi: 10.1037/a0014411.
Verbal working memory (WM) tasks typically involve the language production architecture for recall; however, language production processes have had a minimal role in theorizing about WM. A framework for understanding verbal WM results is presented here. In this framework, domain-specific mechanisms for serial ordering in verbal WM are provided by the language production architecture, in which positional, lexical, and phonological similarity constraints are highly similar to those identified in the WM literature. These behavioral similarities are paralleled in computational modeling of serial ordering in both fields. The role of long-term learning in serial ordering performance is emphasized, in contrast to some models of verbal WM. Classic WM findings are discussed in terms of the language production architecture. The integration of principles from both fields illuminates the maintenance and ordering mechanisms for verbal information.
言语工作记忆(WM)任务通常涉及用于回忆的语言生成架构;然而,语言生成过程在关于WM的理论构建中所起的作用微乎其微。本文提出了一个理解言语WM结果的框架。在这个框架中,言语WM中用于序列排序的特定领域机制由语言生成架构提供,其中位置、词汇和语音相似性约束与WM文献中所确定的那些约束高度相似。这两个领域在序列排序的计算建模中都存在这些行为上的相似之处。与一些言语WM模型不同,本文强调了长期学习在序列排序表现中的作用。根据语言生成架构对经典WM研究结果进行了讨论。这两个领域原理的整合阐明了言语信息的维持和排序机制。