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Sharp transition towards shared vocabularies in multi-agent systems

Andrea Baronchelli1, Maddalena Felici1, Vittorio Loreto1, Emanuele Caglioti2 and Luc Steels3,4

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What processes can explain how very large populations are able to converge on the use of a particular word or grammatical construction without global coordination? Answering this question helps to understand why new language constructs usually propagate along an S-shaped curve with a rather sudden transition towards global agreement. It also helps to analyse and design new technologies that support or orchestrate self-organizing communication systems, such as recent social tagging systems for the web. The article introduces and studies a microscopic model of communicating autonomous agents performing language games without any central control. We show that the system undergoes a disorder/order transition, going through a sharp symmetry breaking process to reach a shared set of conventions. Before the transition, the system builds up non-trivial scale-invariant correlations, for instance in the distribution of competing synonyms, which display a Zipf-like law. These correlations make the system ready for the transition towards shared conventions, which, observed on the timescale of collective behaviours, becomes sharper and sharper with system size. This surprising result not only explains why human language can scale up to very large populations but also suggests ways to optimize artificial semiotic dynamics.


Keywords

stochastic processes

interacting agent models

new applications of statistical mechanics

scaling in socio-economic systems

PACS

02.50.Le Decision theory and game theory

89.70.-a Information and communication theory

05.65.+b Self-organized systems

MSC

91Axx Game theory

94A05 Communication theory (See also 60G35, 90B18)

Subjects

Computational physics

Statistical physics and nonlinear systems

Dates

Issue 06 (June 2006)

Received 26 May 2006, accepted for publication 30 May 2006

Published 23 June 2006



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