合成时空自我:情节记忆和自传体记忆的机器人模型。

IF 5.4 2区 生物学 Q1 BIOLOGY Philosophical Transactions of the Royal Society B: Biological Sciences Pub Date : 2024-11-04 Epub Date: 2024-09-16 DOI:10.1098/rstb.2023.0415
Tony J Prescott, Peter F Dominey
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引用次数: 0

摘要

外显记忆被体验为属于一个在时间中持续存在的自我。我们回顾了与人类外显记忆和自我意识的性质有关的证据,以及这些证据是如何在发育过程中出现的,并提出,年幼的孩子会体验到一种持久的自我,这种自我支持记忆的主观体验。然后,我们探讨了最近在机器人认知架构方面的研究,这些研究调查了合成外显记忆和自传记忆形式的可能性。我们的研究表明,生成模型的最新进展可以帮助人们理解自我的出现和表观记忆,而包含语言能力的认知架构则表明,在为机器人构建具有自传体记忆能力的叙事自我方面取得了进展。最后,我们将探讨在机器人技术中建立更完整的心理时间旅行模型的前景,以及这一建模工作对理解人类外显记忆和时间中的自我的影响。本文是主题 "外显记忆的要素:40 年研究的经验教训 "的一部分。
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Synthesizing the temporal self: robotic models of episodic and autobiographical memory.

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'.

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来源期刊
CiteScore
11.80
自引率
1.60%
发文量
365
审稿时长
3 months
期刊介绍: The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas): Organismal, environmental and evolutionary biology Neuroscience and cognition Cellular, molecular and developmental biology Health and disease.
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