Complex Agent Network with Vocabulary Structure Model for Language Competition Model
WANG Chao1,2, BI Guihong1b, ZHANG Shouming1a, YU Qunxiu1a
1. a.College of Information Engineering and Automation, 650500, China; b. College of Electric Power Engineering, Kunming University of Science and Technology, Yunnan 650500, China; 2. Tianjin Center for patent review of the Patent Office of the State Intellectual Property Office, Tianjin 300280, China
Abstract：This paper proposes a new dynamic social network model to study the competition between two languages (language A and B), this model is based on agent modeling method and social circles theory, and this method also introduces a language structure with two F-length bit-strings vocabulary into the agent which is a node of the network. The evolutions of the average number of words of each language and mastery of the language for agents in the network were analyzed by changing the language states, the structure of social network and the probability of language learning and vertical transmission. The proposed model facilitates the study of the mechanisms of macro behavior which emerges from local interactions and language competition between agents and the evolution of internal language structure of speakers. The simulation result indicates that the model introduced here does account for two key factors, they are the chance and frequency of language usage which influence language competition and do not consider well in other models.
王超, 毕贵红, 张寿明, 于群修. 具有词汇结构的复杂agent网络语言竞争模型[J]. 复杂系统与复杂性科学, 2016, 13(2): 53-66.
WANG Chao, BI Guihong, ZHANG Shouming, YU Qunxiu. Complex Agent Network with Vocabulary Structure Model for Language Competition Model[J]. Complex Systems and Complexity Science, 2016, 13(2): 53-66.
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