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.

研究表明，随着深度人工网络的感知、移动和规划能力的增强，研究人员正在研究它们是否也能发展出共享语言来相互交互，并探讨语言在深度代理人群体中演化及紧急特性的条件，这既有助于理解人类语言进化的过程，也可以让深度网络在日常生活中更加灵活和有用。本文概述了各角度最具代表性的语言演化研究。