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通过内部言语在机器人中培养自我意识。

Developing Self-Awareness in Robots via Inner Speech.

作者信息

Chella Antonio, Pipitone Arianna, Morin Alain, Racy Famira

机构信息

RoboticsLab, Dipartimento di Ingegneria, Università degli Studi di Palermo, Palermo, Italy.

Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR), Consiglio Nazionale delle Ricerche, Palermo, Italy.

出版信息

Front Robot AI. 2020 Feb 19;7:16. doi: 10.3389/frobt.2020.00016. eCollection 2020.

Abstract

The experience of inner speech is a common one. Such a dialogue accompanies the introspection of mental life and fulfills essential roles in human behavior, such as self-restructuring, self-regulation, and re-focusing on attentional resources. Although the underpinning of inner speech is mostly investigated in psychological and philosophical fields, the research in robotics generally does not address such a form of self-aware behavior. Existing models of inner speech inspire computational tools to provide a robot with this form of self-awareness. Here, the widespread psychological models of inner speech are reviewed, and a cognitive architecture for a robot implementing such a capability is outlined in a simplified setup.

摘要

内心言语的体验很常见。这种对话伴随着对精神生活的内省,并在人类行为中发挥着重要作用,比如自我重构、自我调节以及重新聚焦注意力资源。尽管内心言语的基础大多是在心理学和哲学领域进行研究的,但机器人学的研究通常并不涉及这种形式的自我意识行为。现有的内心言语模型激发了计算工具,为机器人提供这种自我意识形式。在此,我们回顾了广泛应用的内心言语心理学模型,并在一个简化的设置中概述了一个实现这种能力的机器人的认知架构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef88/7805855/15b77c4078ec/frobt-07-00016-g0001.jpg

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