In-depth analysis of the Naming Game dynamics: the homogeneous mixing case

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Baronchelli, Andrea
Loreto, Vittorio
Steels, Luc
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Abstract
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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.
Comment: 30 pages, 19 figures (few in reduced definition). In press in IJMPC
Keywords
Physics - Physics and Society, Condensed Matter - Statistical Mechanics, Computer Science - Computer Science and Game Theory, Computer Science - Multiagent Systems
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