Ashby F Gregory
Department of Psychological & Brain Sciences, University of California, Santa Barbara, CA, 93106, USA,
Psychon Bull Rev. 2014 Aug;21(4):935-46. doi: 10.3758/s13423-013-0578-x.
There is now much evidence that humans have multiple memory systems, and evidence is also building that other cognitive processes are mediated by multiple systems. Even so, several recent articles have questioned the existence of multiple cognitive systems, and a number of these have based their arguments on results from state-trace analysis. State-trace analysis was not developed for this purpose but, rather, to identify data sets that are consistent with variation in a single parameter. All previous applications have assumed that state-trace plots in which the data fall on separate curves rule out any model in which only a single parameter varies across the two tasks under study. Unfortunately, this assumption is incorrect. Models in which only one parameter varies can generate any type of state-trace plot, as can models in which two or more parameters vary. In addition, it is straightforward to show that both single-system and multiple-systems models can generate state-trace plots that are considered in the literature to be consistent with either one or multiple cognitive systems. Thus, without additional information, there is no empirical state-trace plot that supports any inferences about the number of underlying parameters or systems.
现在有大量证据表明人类拥有多种记忆系统,而且越来越多的证据表明其他认知过程也是由多种系统介导的。即便如此,最近有几篇文章对多种认知系统的存在提出了质疑,其中一些文章的论点基于状态追踪分析的结果。状态追踪分析并非为此目的而开发,而是用于识别与单个参数变化一致的数据集。之前所有的应用都假定,数据落在不同曲线上的状态追踪图排除了任何仅一个参数在两个被研究任务中变化的模型。不幸的是,这个假设是错误的。仅一个参数变化的模型可以生成任何类型的状态追踪图,两个或更多参数变化的模型也可以。此外,很容易证明单系统模型和多系统模型都可以生成在文献中被认为与一个或多个认知系统一致的状态追踪图。因此,没有额外信息的话,就没有支持关于潜在参数或系统数量的任何推断的实证状态追踪图。