"Our hypothesis is that true language understanding will come from agents that learn words in combination with how they affect the world, rather than spotting patterns in a huge corpus of text. As a first step, we wanted to see if cooperative agents could develop a simple language amongst themselves.
"We've just released initial results in which we teach AI agents to create language by dropping them into a set of simple worlds, giving them the ability to communicate, and then giving them goals that can be best achieved by communicating with other agents. If they achieve a goal, then they get rewarded. We train them using reinforcement learning and, due to careful experiment design, they develop a shared language to help them achieve their goals."