arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0803.0398physics.soc-phcond-mat.stat-mechcs.GTcs.MA
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深入分析博弈动态:均匀混合情况

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

Andrea Baronchelli, Vittorio Loreto, Luc Steels

摘要:

语言的出现和进化最近通过多智能体模型和数学框架来研究它们的行为得到了越来越多的关注。在这里,我们进一步调查的游戏,一个模型,能够解释的形式-意义的协会,通过社会/文化学习的共享词汇的出现。由于代理的结构及其交互规则的简单性,可以使用数值模拟和分析参数来详细分析该模型的动力学。本文首先回顾了一些现有的结果,然后提出了一个新的整体认识。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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