Strategies for fast convergence in semiotic dynamics
<|reference_start|>Strategies for fast convergence in semiotic dynamics: Semiotic dynamics is a novel field that studies how semiotic conventions spread and stabilize in a population of agents. This is a central issue both for theoretical and technological reasons since large system made up of communicating agents, like web communities or artificial embodied agents teams, are getting widespread. In this paper we discuss a recently introduced simple multi-agent model which is able to account for the emergence of a shared vocabulary in a population of agents. In particular we introduce a new deterministic agents' playing strategy that strongly improves the performance of the game in terms of faster convergence and reduced cognitive effort for the agents.<|reference_end|>
@article{baronchelli2005strategies,
    title={Strategies for fast convergence in semiotic dynamics},
    author={Andrea Baronchelli, Luca Dall'Asta, Alain Barrat, Vittorio Loreto},
    journal={Artificial Life X, edited by L. M. Rocha et al., pages 480-485,
  MIT press (2006)},
    year={2005},
    archivePrefix={arXiv},
    eprint={physics/0511201},
    primaryClass={physics.soc-ph cond-mat.stat-mech cs.GT cs.MA}
}