Ludueña Guillermo A, Behzad Mehran Djalali, Gros Claudius
Institute for Theoretical Physics, Goethe University Frankfurt, Frankfurt, Germany.
Cogn Process. 2014 May;15(2):195-200. doi: 10.1007/s10339-013-0590-0. Epub 2013 Nov 22.
Free association is a task that requires a subject to express the first word to come to their mind when presented with a certain cue. It is a task which can be used to expose the basic mechanisms by which humans connect memories. In this work, we have made use of a publicly available database of free associations to model the exploration of the averaged network of associations using a statistical and the adaptive control of thought-rational (ACT-R) model. We performed, in addition, an online experiment asking participants to navigate the averaged network using their individual preferences for word associations. We have investigated the statistics of word repetitions in this guided association task. We find that the considered models mimic some of the statistical properties, viz the probability of word repetitions, the distance between repetitions and the distribution of association chain lengths, of the experiment, with the ACT-R model showing a particularly good fit to the experimental data for the more intricate properties as, for instance, the ratio of repetitions per length of association chains.
自由联想是一项要求受试者在面对特定提示时说出脑海中浮现的第一个单词的任务。它是一项可用于揭示人类连接记忆的基本机制的任务。在这项工作中，我们利用了一个公开可用的自由联想数据库，使用统计方法和思维理性自适应控制（ACT-R）模型对平均联想网络的探索进行建模。此外，我们还进行了一项在线实验，要求参与者根据自己对单词联想的个人偏好浏览平均联想网络。我们研究了这个引导联想任务中单词重复的统计情况。我们发现，所考虑的模型模仿了实验的一些统计特性，即单词重复的概率、重复之间的距离以及联想链长度的分布，其中ACT-R模型对于更复杂的特性，如联想链长度的重复率，与实验数据表现出特别好的拟合。
