论文标题
基于多代理模型的动态行为的语言演化趋势的聚类趋势
On Clustering Trend in Language Evolution Based on Dynamical Behaviors of Multi-Agent Model
论文作者
论文摘要
通过将语言理论转换为物理建模机制来克服语言演变的时间限制，从而有助于探索进化的一般定律，从而克服了语言演变的时间限制。在本文中，一个多代理模型旨在模拟人类定居点中语言的演变过程，网络拓扑为晶格。晶格中每个节点的语言将在其自身固定的进化方向和邻居的影响下逐渐发展。根据计算实验结果，发现语言的状态始终在进化过程中汇聚为几个群集，这使我们深入了解语言演变。
Computer model has been extensively adopted to overcome the time limitation of language evolution by transforming language theory into physical modeling mechanism, which helps to explore the general laws of the evolution. In this paper, a multi-agent model is designed to simulate the evolution process of language in human settlements, with the network topology being lattice. The language of each node in the lattice will evolve gradually under the influence of its own fixed evolutionary direction and neighbors. According to the computational experiment results, it is discovered that the state points of languages always converge into several clusters during evolution process, which gives us an insight into language evolution.
