A Complex Agent Network Model With Language Competition With Real Vocabulary Structure

Language is the carrier of human culture, which plays an important role in the cultural transmission, the demise of the language will make potential linkage with human cultures disappear. So, it is necessary to research the language about language communication% competition, in order to reveal the reason of language die、 coexistence, and to sum up the measures and control policies that are conducive to the survival of the disadvantaged language. The method based on complex agent network is one of the main methods to construct the dynamic model of language competition system. At present, the main problems are as follows:(1) It is an ideal static network, there are a wide gap with the actual dynamic social network; (2) the vocabulary structure of agent of the network is a binary that cannot describe the words evolution process and language proficiency, etc.; (3) Now, the model mainly for bilingual competition model, it is need to study the universal trilingual competition model. Aiming at these problems, this paper carried out the following three aspects of research:(1) Given the bilingual competition complex agent network model with real vocabulary structure. This model is based on agent modeling method and social circles theory, in order to reflect the vocabulary of the language and its proficiency, a language structure with two F-length integer-strings is introduced into the agent which is a node of the network, building a new dynamic social network model to study the competition between two languages. Using the constructed model to study the language policy control parameters (social status, social radius, exchange strength, etc.) for the impact of type of language, vocabulary and proficiency trends of agent, the language protection suggestion is given.(2) The dynamic social network model for three languages competition developed by using agent technology with the theory of the social circles. On the basis, the complex network of agent nodes on the bilingual competition model is extended to the three language of competition model, finally constructs a complex agent network simulation model of three language competition. The language types of agent in the network represents A, B, C three kinds of monolingual, which appeared three kinds of bilingual (AB, AC, BC) and a kind of trilingual (ABC) through learning and forgetting along with the network evolution, so the competition among seven languages in the network. This paper analyzes the impact of the spread of the language about the social status of language, the scope of social interaction (radius) and the population mobility (mobile population proportion) in the competition among seven languages.(3) Given the three languages competition complex agent network model with real vocabulary structure, the word length of a situation is considered to convenient calculation. In the model, three real vocabulary numbers are used to represent the structure of the three languages, and learning and forgetting of the model are given.Using the parameters of model to study the variation, such as the vocabulary, language, and so on. It lays the foundation for further improvement of the three language competition with real number structure.