Complex Agent Network and Evolution Analysis for Multi-lingual Competition

Authors

Shouming Zhang, 1. College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; ;
Qunxiu Yu, 1. College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; ;
Guihong Bi, 2. College of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China;

Abstract

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.

Recommended Citation

Zhang, Shouming; Yu, Qunxiu; and Bi, Guihong (2020) "Complex Agent Network and Evolution Analysis for Multi-lingual Competition," Journal of System Simulation: Vol. 29: Iss. 3, Article 1.
DOI: 10.16182/j.issn1004731x.joss.201703001
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss3/1

First Page

463

Revised Date

2015-09-14

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201703001

Last Page

478

CLC

TP391.9

Recommended Citation

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.

Corresponding Author

Guihong Bi,

DOI

10.16182/j.issn1004731x.joss.201703001