Language emergence and evolution has recently gained growing attention through multiagent models and mathematical frameworks to study their behavior. Here we investigate further the Naming Game, a model able to account for the emergence of a shared vocabulary of form-meaning associations through social/cultural learning. Due to the simplicity of both the structure of the agents and their interaction rules, the dynamics of this model can be analyzed in great detail using numerical simulations and analytical arguments. This paper first reviews some existing results and then presents a new overall understanding.
In REF , the authors analyze a dynamic model known as the Naming Game and discuss that it is able to account for the distributed coordination of autonomous agents and the emergence of global agreement.
In-depth analysis of the Naming Game dynamics: the homogeneous mixing case
Int. J. Mod. Phys. C 19, 785 (2008)
Computer Science Physics