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Can Body Language Shape Body Image?

机译:肢体语言能否塑造身体形象?

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One of the central themes in autonomous robot research concerns the question how visual images of body movements by others can be interpreted and related to one's own body movements and to language describing these body movements. The discovery of mirror neurons has shown that there are brain circuits which become active both in the perception and the re-enactment of bodily gestures, although it is so far unclear how these circuits can form, i.e. how neurons become mirror neurons. We report here further progress with our robot experiments in which a group of autonomous robots play language games in order to coordinate their visual, motor and cognitive body image. We have shown that the right kind of semiotic dynamics can lead to the self-organisation of a successful communication system with which robots can ask each other to perform certain actions. The main contribution of this paper is to show that if the robot has the capacity to 'imagine' the behavior of his own body through self-simulation, he is better able to guess what action corresponds to a visual image produced by another robot and thus guess the meaning of an unknown word. This leads to a significant speed-up in the way individual agents are able to coordinate visual categories, motor behaviors and language.
机译:自主机器人研究的中心主题之一是关于如何解释他人的身体运动的视觉图像并与自己的身体运动以及描述这些身体运动的语言相关的问题。镜像神经元的发现表明,大脑回路在感知和重现身体姿势时都活跃,尽管目前尚不清楚这些回路如何形成,即神经元如何变成镜像神经元。我们在这里报告了机器人实验的进一步进展,其中一组自主机器人玩语言游戏,以协调其视觉,运动和认知身体图像。我们已经证明,正确的符号学动力学可以导致成功的通信系统的自组织,机器人可以利用该系统相互要求对方执行某些动作。本文的主要贡献在于表明,如果机器人具有通过自我模拟“想象”自己身体行为的能力,他将能够更好地猜测出与另一机器人产生的视觉图像相对应的动作,因此猜一个未知单词的意思。这样可以显着提高各个代理人协调视觉类别,运动行为和语言的方式。

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