National Institute of Chemical Physics and Biophysics, Rävala 10, 10143 Tallinn, Estonia.
Chaos. 2020 Jun;30(6):063119. doi: 10.1063/5.0009569.
The present contribution reviews a set of different versions of the basic naming game model, differing in the underlying topology or in the mechanisms regulating the interactions between agents. We include also a Bayesian naming game model recently introduced, which merges the social dynamics of the basic naming game model with the Bayesian learning framework introduced by Tenenbaum and co-workers. The latter model goes beyond the fixed nature of names and concepts of standard semiotic dynamics models and the corresponding one-shot learning process by describing dynamically how agents can generalize a concept from a few examples, according to principles of Bayesian inference.
本研究综述了基本命名游戏模型的一系列不同版本，这些版本在基础拓扑结构或调节主体间相互作用的机制方面存在差异。我们还纳入了最近引入的贝叶斯命名游戏模型，该模型将基本命名游戏模型的社会动态与 Tenenbaum 及其同事引入的贝叶斯学习框架相结合。后一种模型超越了标准符号动力学模型中名称和概念的固定性质，以及相应的单次学习过程，它根据贝叶斯推理的原则描述了主体如何根据少数几个例子动态地推广一个概念。
