Liu Y
Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor 48109-2117, USA.
Psychol Rev. 1996 Jan;103(1):116-36. doi: 10.1037/0033-295x.103.1.116.
This article examines the use of reaction time (RT) to infer the possible configurations of mental systems and presents a class of queueing network models of elementary mental processes. The models consider the temporal issue of discrete versus continuous information transmission in conjunction with the architectural issue of serial versus network arrangement of mental processes. Five elementary but important types of queueing networks are described in detail with regard to their predictions for RT behavior, and they are used to re-examine existing models for psychological processes. As continuous-transmission networks in the general form, queueing network models include the existing discrete and continuous serial models and discrete network models as special cases, cover a broader range of temporal and architectural structures that mental processes might assume, and can be subjected to empirical tests.
本文探讨了如何利用反应时间（RT）来推断心理系统的可能结构，并提出了一类基本心理过程的排队网络模型。这些模型结合了心理过程的串行与网络排列的架构问题，考虑了离散与连续信息传输的时间问题。详细描述了五种基本但重要的排队网络类型及其对RT行为的预测，并用于重新审视现有的心理过程模型。作为一般形式的连续传输网络，排队网络模型包括现有的离散和连续串行模型以及离散网络模型作为特殊情况，涵盖了心理过程可能呈现的更广泛的时间和架构结构，并且可以进行实证检验。
