论文标题
深度学习时代的新兴多机构沟通
Emergent Multi-Agent Communication in the Deep Learning Era
论文作者
论文摘要
通过语言合作的能力是人类的定义特征。随着深层人造网络的感知，运动和计划能力的增加，研究人员正在研究他们是否也可以开发共享语言进行互动。从科学的角度来看，了解深层代理商及其新兴特征的语言演变的条件可以阐明人类语言的演变。从应用的角度来看，通过相互交流和与我们进行交流，可以使他们在日常生活中更加灵活和有用，从而赋予深厚的网络。 本文调查了代表性的最新语言出现研究 这两个角度。
The ability to cooperate through language is a defining feature of humans. As the perceptual, motory and planning capabilities of deep artificial networks increase, researchers are studying whether they also can develop a shared language to interact. From a scientific perspective, understanding the conditions under which language evolves in communities of deep agents and its emergent features can shed light on human language evolution. From an applied perspective, endowing deep networks with the ability to solve problems interactively by communicating with each other and with us should make them more flexible and useful in everyday life. This article surveys representative recent language emergence studies from both of these two angles.
