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合成时间自我:情景和自传记忆的机器人模型。

Synthesizing the temporal self: robotic models of episodic and autobiographical memory.

机构信息

Department of Computer Science and Sheffield Robotics, University of Sheffield , Sheffield, UK.

INSERM UMR 1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences du Sport , Dijon, France.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2024 Nov 4;379(1913):20230415. doi: 10.1098/rstb.2023.0415. Epub 2024 Sep 16.

DOI:10.1098/rstb.2023.0415
PMID:39278252
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11523108/
Abstract

Episodic memories are experienced as belonging to a self that persists in time. We review evidence concerning the nature of human episodic memory and of the sense of self and how these emerge during development, proposing that the younger child experiences a persistent self that supports a subjective experience of remembering. We then explore recent research in cognitive architectures for robotics that has investigated the possibility of forms of synthetic episodic and autobiographical memory. We show that recent advances in generative modeling can support an understanding of the emergence of self and of episodic memory, and that cognitive architectures which include a language capacity are showing progress towards the construction of a narrative self with autobiographical memory capabilities for robots. We conclude by considering the prospects for a more complete model of mental time travel in robotics and the implications of this modeling work for understanding human episodic memory and the self in time. This article is part of the theme issue 'Elements of episodic memory: lessons from 40 years of research'.

摘要

情景记忆被体验为属于一个在时间中持续存在的自我。我们回顾了有关人类情景记忆和自我意识本质的证据,以及这些如何在发展过程中出现,并提出年幼的孩子会经历一个持续的自我,从而支持对记忆的主观体验。然后,我们探讨了机器人认知架构中的最新研究,这些研究调查了合成情景和自传记忆的可能性。我们表明,生成模型的最新进展可以支持对自我和情景记忆的出现的理解,并且包括语言能力的认知架构正在朝着为机器人构建具有自传记忆能力的叙述自我的方向取得进展。最后,我们考虑了在机器人中构建更完整的心理时间旅行模型的前景,以及这项建模工作对理解人类情景记忆和时间中的自我的意义。本文是主题为“情景记忆的要素:40 年研究的经验教训”的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f57/11523108/2c9b680d39be/rstb.2023.0415.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f57/11523108/89981cffcfb0/rstb.2023.0415.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f57/11523108/746ca8645725/rstb.2023.0415.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f57/11523108/63d904100357/rstb.2023.0415.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f57/11523108/2c9b680d39be/rstb.2023.0415.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f57/11523108/89981cffcfb0/rstb.2023.0415.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f57/11523108/746ca8645725/rstb.2023.0415.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f57/11523108/63d904100357/rstb.2023.0415.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f57/11523108/2c9b680d39be/rstb.2023.0415.f004.jpg

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