  Learning to communicate is considered an essential task to develop a general
AI. While recent literature in language evolution has studied emergent language
through discrete or continuous message symbols, there has been little work in
the emergence of writing systems in artificial agents. In this paper, we
present a referential game setup with two agents, where the mode of
communication is a written language system that emerges during the play. We
show that the agents can learn to coordinate successfully using this mode of
communication. Further, we study how the game rules affect the writing system
taxonomy by proposing a consistency metric.
