多语竞争复杂agent网络语言竞争与演化分析

doi:10.16182/j.issn1004731x.joss.201703001

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (3): 463-478.doi: 10.16182/j.issn1004731x.joss.201703001

• 仿真建模理论与方法 • 下一篇

多语竞争复杂agent网络语言竞争与演化分析

张寿明¹, 于群修¹, 毕贵红^2*

1.昆明理工大学信息工程与自动化学院,云南昆明 650500;
2.昆明理工大学电力工程学院,云南昆明 650500

收稿日期:2015-06-15 修回日期:2015-09-14 出版日期:2017-03-08 发布日期:2020-06-02
作者简介:张寿明(1966-),男,白族,云南大理,博士,教授,研究方向为复杂工业过程控制;毕贵红(1968-),男,白族,云南大理,博士,教授,研究方向为社会和经济系统仿真。
基金资助:
国家自然科学基金(61364022)

Complex Agent Network and Evolution Analysis for Multi-lingual Competition

Zhang Shouming¹, Yu Qunxiu¹, Bi Guihong^2*

1. College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;
2. College of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China

Received:2015-06-15 Revised:2015-09-14 Online:2017-03-08 Published:2020-06-02

摘要/Abstract

摘要： 利用基于社会圈子理论的agent微观建模技术来构建语言竞争社会网络。构建的网络不仅拓扑结构参数更接近实际社会网络,而且网络中的个体可以移动、死亡和新生,具有动态特性。以三语竞争为例,提出一种将网络中的个体间三语竞争分解为3个两种语言竞争问题的原理,给出了一种基于双语竞争原理的通用多语竞争复杂agent网络仿真建模方法。给出了网络上的节点agent的学习和遗忘模型。利用建立的模型研究了在不同社会环境中个体的语言竞争演化路径。研究表明给出的模型正确模拟了三语竞争问题。

关键词: 微观建模, 多语竞争, 社会圈子, 复杂网络, agent

Abstract: Dynamic social network model for the competition among languages with agent based modeling method and social circles theory was proposed. The parameters of the topological structure of constructed social network were closer to the actual social network. The individual agents in the network can move, dead and reproduce, so the constructed social network was endowed with dynamic characteristics. Took the trilingual competition as an example, a theory was put forward which decomposes the individual competition into the three times of bilingual competition problems. Based on it, we presented a universal complex agent network method for multi-lingual competition and policy intervention. The model of learning and forgetting of the agents in the network was proposed. It is used to study the individual language competition in different social environment evolution paths. The simulation results show that the presented model can describe the trilingual competition problem correctly.

Key words: microscopic modeling technology, multi-lingual competition, social circle network, complex network, agent

中图分类号:

TP391.9

张寿明, 于群修, 毕贵红. 多语竞争复杂agent网络语言竞争与演化分析[J]. 系统仿真学报, 2017, 29(3): 463-478.

Zhang Shouming, Yu Qunxiu, Bi Guihong. Complex Agent Network and Evolution Analysis for Multi-lingual Competition[J]. Journal of System Simulation, 2017, 29(3): 463-478.

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多语竞争复杂agent网络语言竞争与演化分析

Complex Agent Network and Evolution Analysis for Multi-lingual Competition

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