Rat big, cat eaten! Ideas for a useful deep-agent protolanguage
This work is incremental, focusing on guiding research for AI agents in communication scenarios without introducing new methods or data.
The paper addresses the challenge of developing a useful protolanguage for deep-agent communities by proposing a set of priorities to accelerate progress, but it does not provide concrete results or numbers.
Deep-agent communities developing their own language-like communication protocol are a hot (or at least warm) topic in AI. Such agents could be very useful in machine-machine and human-machine interaction scenarios long before they have evolved a protocol as complex as human language. Here, I propose a small set of priorities we should focus on, if we want to get as fast as possible to a stage where deep agents speak a useful protolanguage.