  Laboratory experiments have shown that communication plays an important role
in solving social dilemmas. Here, by extending the AI-Economist, a mixed motive
multi-agent reinforcement learning environment, I intend to find an answer to
the following descriptive question: which governing system does facilitate the
emergence and evolution of communication and teaching among agents? To answer
this question, the AI-Economist is extended by a voting mechanism to simulate
three different governing systems across individualistic-collectivistic axis,
from full-libertarian to Full-Utilitarian governing systems. Moreover, the
AI-Economist is further extended to include communication with possible
misalignment, a variant of signalling game, by letting agents to build houses
together if they are able to name mutually complement material resources by the
same letter. Moreover, another extension is made to the AI-Economist to include
teaching with possible misalignment, again a variant of signalling game, by
letting half the agents as teachers who know how to use mutually complement
material resources to build houses but are not capable of building actual
houses, and the other half as students who do not have this information but are
able to actually build those houses if teachers teach them. I found a strong
evidence that collectivistic environment such as Full-Utilitarian system is
more favourable for the emergence of communication and teaching, or more
precisely, evolution of language alignment. Moreover, I found some evidence
that evolution of language alignment through communication and teaching under
collectivistic governing systems makes individuals more advantageously inequity
averse. As a result, there is a positive correlation between evolution of
language alignment and equality in the society.
