In-depth analysis of the Naming Game dynamics: the homogeneous mixing case
Physics and Society
2008-07-21 v1 Statistical Mechanics
Computer Science and Game Theory
Multiagent Systems
Abstract
Language emergence and evolution has recently gained growing attention through multi-agent 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.
Cite
@article{arxiv.0803.0398,
title = {In-depth analysis of the Naming Game dynamics: the homogeneous mixing case},
author = {Andrea Baronchelli and Vittorio Loreto and Luc Steels},
journal= {arXiv preprint arXiv:0803.0398},
year = {2008}
}
Comments
30 pages, 19 figures (few in reduced definition). In press in IJMPC