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The development of a robust symbolic communication system for robots via embodied iterated imitation

机译:通过体现迭代模仿,开发机器人的强大符号通信系统

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In this research, real robots are used to model the emergence and development of a symbolic communication system in a group of social agents. It is shown that as the predefined symbols of the language are transmitted among the robots, variations due to embodiment arise in the learned symbols. As a result of these variations, transmissibility of the randomly generated symbols of the language decreases. We introduce multiple cycles of iterated imitation during which the symbols of the language evolve and adapt to the uncertainties in robots' sensors and actuators. Specific structures emerge in the learned symbols and transmissibility of the language increases. This process is proposed as a model that explains how structural syntax emerges and evolves in a symbolic communication system.
机译:在这项研究中,真正的机器人用于模拟一组社会代理商中象征性通信系统的出现和发展。结果表明,当在机器人之间传输语言的预定义符号时,在学习符号中出现由实施例引起的变化。由于这些变化,语言的随机生成符号的传递性降低。我们介绍了多个迭代模仿的周期,在此期间语言的符号展现并适应机器人传感器和执行器中的不确定性。特定结构在学到的符号中出现,语言的传递性增加。该过程被提出为一种模型,解释了结构语法如何出现和发展在象征性通信系统中。

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