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关于遗忘函数的形式:延迟的算术分布和对数分布的影响。

On the form of the forgetting function: the effects of arithmetic and logarithmic distributions of delays.

作者信息

Sargisson Rebecca J, White K Geoffrey

机构信息

University of Otago.

出版信息

J Exp Anal Behav. 2003 Nov;80(3):295-309. doi: 10.1901/jeab.2003.80-295.

DOI:10.1901/jeab.2003.80-295
PMID:14964709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1284961/
Abstract

Forgetting functions with 18 delay intervals were generated for delayed matching-to-sample performance in pigeons. Delay interval variation was achieved by arranging five different sets of five delays across daily sessions. In different conditions, the delays were distributed in arithmetic or logarithmic series. There was no convincing evidence for different effects on discriminability of the distributions of different delays. The mean data were better fitted by some mathematical functions than by others, but the best-fitting functions depended on the distribution of delays. In further conditions with a fixed set of five delays, discriminability was higher with a logarithmic distribution of delays than with an arithmetic distribution. This result is consistent with the treatment of the forgetting function in terms of generalization decrement.

摘要

针对鸽子延迟匹配样本任务的表现,生成了具有18个延迟间隔的遗忘函数。通过在每日实验中安排五组不同的、每组包含五个延迟的组合来实现延迟间隔的变化。在不同条件下,延迟以算术或对数序列分布。没有令人信服的证据表明不同延迟分布对辨别力有不同影响。一些数学函数比其他函数能更好地拟合平均数据,但最佳拟合函数取决于延迟的分布。在另外一些条件下,固定有一组包含五个延迟,延迟的对数分布比算术分布具有更高的辨别力。这一结果与根据泛化递减来处理遗忘函数的观点一致。

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