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.

中文翻译：

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通过机器人技术了解自我意识


机器人技术可以在科学理解自我意识方面发挥有用的作用，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，机器人的体现使我们能够设计和测试关于自我本质的假设，关于它的发展、它在行为中的表现以及人类、动物和潜在的机器中自我的多样性。本文回顾了解决自我主题（最小自我、扩展自我和自我障碍）的机器人学研究，并强调了通过在人工系统中构建自我组成部分来理解自我的未来方向和开放挑战。一种新兴的观点是，自我的关键现象可以在机器人中产生，这些机器人具有适当配置的传感器和致动器系统，以及涉及预测模型网络的分层认知架构。