Suppr超能文献

一种用于预测自由回忆的改进算法。

An improved algorithm for predicting free recalls.

作者信息

Laming Donald

机构信息

Department of Experimental Psychology, University of Cambridge, Downing Street, Cambridge, England CB2 3EB, UK.

出版信息

Cogn Psychol. 2008 Nov;57(3):179-219. doi: 10.1016/j.cogpsych.2008.01.001. Epub 2008 Mar 7.

Abstract

Laming [Laming, D. (2006). Predicting free recalls. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32, 1146-1163] has shown that, in a free-recall experiment in which the participants rehearsed out loud, entire sequences of recalls could be predicted, to a useful degree of precision, from the prior sequences of stimuli and rehearsals. This article describes an improved predictive algorithm, which is then used to re-analyse two further sets of free-recall data. Prediction is compared, generically, with conventional modelling, represented here by three recent models of free recall that are concerned with recalls only, not with rehearsals. Some implications are drawn, from the use of rehearsal data by the predictive algorithm, for some of the constituent assumptions embodied in those three models.

摘要

拉明[拉明,D.(2006年)。预测自由回忆。《实验心理学杂志:学习、记忆与认知》,第32卷,第1146 - 1163页]表明,在一项自由回忆实验中,参与者大声复述,从先前的刺激和复述序列中,可以以有用的精确程度预测整个回忆序列。本文描述了一种改进的预测算法,然后用它重新分析另外两组自由回忆数据。一般而言,将预测与传统建模进行比较,这里用最近的三个仅关注回忆而非复述的自由回忆模型来代表传统建模。从预测算法对复述数据的使用中,得出了对这三个模型中一些构成性假设的一些启示。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验