Hongrun Wu;Qiurong Wu;Zhenglong Xiang;Xiang Zhang;Lei Zhang;Yingpin Chen;Hui Wang;Jianhua Song
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引用次数: 0
Abstract
As language is intrinsic to the expression of culture, the rise and fall of a language directly affect the culture associated with it. Therefore, constructing a computational model to study the mechanisms of language competition and explore policies of language preservation is very important. We address the language system’s macroscopic aspects, such as the prestige of languages, the difficulty level of learning languages, and natives’ tolerance toward nonnative languages, as well as individual interactions at the microscopic level, and then propose an agent network computation-based evolutionary game model (ANC-EGM), including two major components—the definition of language attractiveness and the language competition game, to model a more realistic dynamic evolving language system. The replicator equation is adopted to solve the evolutionary equilibrium, and the stability of the equilibrium points is analyzed by the local stability analysis of the Jacobian matrix. The theoretical analysis and simulations illustrate that the ANC-EGM can comprehensively model the competition between two languages and estimate how individual interactions lead to the demise or coexistence of languages. We further validate the conclusions of the ANC-EGM on the empirical data of the Minnan dialect and Mandarin, which show that the ANC-EGM can provide an experimental computing platform for the in-depth study of language policy regulation and language evolution rules.
期刊介绍:
IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.