A model of language emergence and change

Abstract

Recently, there is a number of research done on the problem of consensus between autonomous agents, especially language evolution and computation. In this paper, language evolution including language emergence and change are investigated. We study how disparate languages of people in a population converge to a common one and how this evolves. The dynamics we use is defined as a discrete time mapping, people interact with each other and update their languages for every iteration. We first visualize the possible language evolution by performing computer simulations, then analyze the observed behavior and prove that the majority of the population are agree to share a common language under some assumptions.