Understanding the sense of self through robotics.

IF 26.1 1区 计算机科学 Q1 ROBOTICS
Tony J Prescott, Kai Vogeley, Agnieszka Wykowska
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引用次数: 0

Abstract

Robotics can play a useful role in the scientific understanding of the sense of self, both through the construction of embodied models of the self and through the use of robots as experimental probes to explore the human self. In both cases, the embodiment of the robot allows us to devise and test hypotheses about the nature of the self, with regard to its development, its manifestation in behavior, and the diversity of selves in humans, animals, and, potentially, machines. This paper reviews robotics research that addresses the topic of the self-the minimal self, the extended self, and disorders of the self-and highlights future directions and open challenges in understanding the self through constructing its components in artificial systems. An emerging view is that key phenomena of the self can be generated in robots with suitably configured sensor and actuator systems and a layered cognitive architecture involving networks of predictive models.

通过机器人了解自我意识。
机器人技术可以在科学理解自我意识方面发挥有益的作用,既可以通过构建自我的具身模型,也可以通过使用机器人作为探索人类自我的实验探针。在这两种情况下,机器人的化身都能让我们设计和测试有关自我本质的假设,包括自我的发展、自我在行为中的表现,以及人类、动物和潜在机器中自我的多样性。本文回顾了涉及自我主题的机器人研究--最小自我、扩展自我和自我失调,并强调了通过在人工系统中构建自我的组成部分来理解自我的未来方向和挑战。一种新出现的观点认为,通过适当配置传感器和执行器系统以及涉及预测模型网络的分层认知架构,可以在机器人中生成自我的关键现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Science Robotics
Science Robotics Mathematics-Control and Optimization
CiteScore
30.60
自引率
2.80%
发文量
83
期刊介绍: Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals. Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.
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