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学习-遗忘独立性、单维记忆模型和特征模型:对博加茨(1990年)的评论

Learning-forgetting independence, unidimensional memory models, and feature models: comment on Bogartz (1990).

作者信息

Loftus G R, Bamber D

机构信息

Department of Psychology, University of Washington, Seattle 98195.

出版信息

J Exp Psychol Learn Mem Cogn. 1990 Sep;16(5):916-26. doi: 10.1037/0278-7393.16.5.916.

Abstract

In his recent articles, Bogartz offered a definition of what it means for forgetting rate to be independent of degree of original learning. He showed that, given this definition, independence is confirmed by extant data. Bogartz also criticized Loftus's (1985b) proposed method for testing independence. In this commentary, we counter Bogartz's criticisms and then offer two observations. First, we show that Loftus's horizontal-parallelism test distinguishes between two interesting class of memory models: unidimensional models wherein the memory system's state can be specified by a single number and multidimensional models wherein at least two numbers are required to specify the memory system's state. Independence by Loftus's definition is implied by a unidimensional model. Bogartz's definition, in contrast, is consistent with either model. Second, to better understand the constraints on memory mechanisms dictated by the mathematics of the models under consideration, we develop a simple but general feature model of learning and forgetting. We demonstrate what constraints must be placed on this model to make learning and forgetting rate independent by Loftus's and by Bogartz's definitions.

摘要

在其近期的文章中,博加茨给出了遗忘率与初始学习程度无关的定义。他表明,基于这一定义,现有数据证实了独立性。博加茨还批评了洛夫特斯(1985b)提出的检验独立性的方法。在这篇评论中,我们反驳博加茨的批评,然后提出两点看法。首先,我们表明洛夫特斯的水平平行性检验区分了两类有趣的记忆模型:单维模型,其中记忆系统的状态可用单个数字来指定;多维模型,其中至少需要两个数字来指定记忆系统的状态。单维模型意味着符合洛夫特斯定义的独立性。相比之下,博加茨的定义与这两种模型都一致。其次,为了更好地理解所考虑模型的数学原理对记忆机制的限制,我们开发了一个简单但通用的学习与遗忘特征模型。我们展示了为使学习和遗忘率符合洛夫特斯和博加茨的定义,必须对该模型施加哪些限制。

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