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In-depth analysis of the naming game dynamics: The homogeneous mixing case
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Abstract:
arXiv:0803.0398v1 ; Language emergence and evolution have 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. ; A. Baronchelli acknowledges support from the DURSI, Generalitat de Catalunya (Spain) and from Spanish MEC (FEDER) through project No: FIS 2007-66485-CO2-01. This work was partially supported by the EU under contract IST-1940 (ECAgents) and IST-34721 (TAGora). The ECAgents and TAGora projects are funded by the Future and Emerging Technologies program (IST-FET) of the European Commission. ; Peer reviewed
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Keyword:
Cultural evolution; Emergence of consensus; Language self-organization; Social interaction; Statistical physics
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URL: https://doi.org/10.13039/501100000780
https://doi.org/10.13039/501100002809
http://hdl.handle.net/10261/127836
https://doi.org/10.1142/S0129183108012522
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