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使用前向模型进行自我、他人和联合监测。

Self-, other-, and joint monitoring using forward models.

机构信息

Department of Psychology, University of Edinburgh Edinburgh, UK.

Institute of Neuroscience and Psychology, University of Glasgow Glasgow, UK.

出版信息

Front Hum Neurosci. 2014 Mar 25;8:132. doi: 10.3389/fnhum.2014.00132. eCollection 2014.

Abstract

In the psychology of language, most accounts of self-monitoring assume that it is based on comprehension. Here we outline and develop the alternative account proposed by Pickering and Garrod (2013), in which speakers construct forward models of their upcoming utterances and compare them with the utterance as they produce them. We propose that speakers compute inverse models derived from the discrepancy (error) between the utterance and the predicted utterance and use that to modify their production command or (occasionally) begin anew. We then propose that comprehenders monitor other people's speech by simulating their utterances using covert imitation and forward models, and then comparing those forward models with what they hear. They use the discrepancy to compute inverse models and modify their representation of the speaker's production command, or realize that their representation is incorrect and may develop a new production command. We then discuss monitoring in dialogue, paying attention to sequential contributions, concurrent feedback, and the relationship between monitoring and alignment.

摘要

在语言心理学中,大多数关于自我监控的解释都假设它是基于理解的。在这里,我们概述并发展了皮克林和加罗德(2013)提出的替代解释,根据该解释,说话者构建即将到来的话语的前馈模型,并将其与产生的话语进行比较。我们提出说话者计算来自话语和预测话语之间差异(误差)的逆模型,并使用该逆模型来修改他们的产生指令或(偶尔)重新开始。然后,我们提出理解者通过使用隐蔽模仿和前馈模型模拟他人的言语来监控他人的言语,然后将这些前馈模型与他们听到的内容进行比较。他们利用差异来计算逆模型,并修改他们对说话者产生指令的表示,或者意识到他们的表示是不正确的,可能会产生一个新的产生指令。然后,我们讨论对话中的监控,注意序列贡献、并发反馈以及监控和对齐之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6429/3971194/3295c7482bf4/fnhum-08-00132-g0001.jpg

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