Abstract
This paper proposes a cellular-automata-epidemic (CAE) model which is a combination of cellular-automata and epidemic model for predicting the language development in 50 years. In this model, three factors are considered: the international trade, global tourism and social communication. The Principal Component Analysis (PCA) is used to calculate scores which rank the effect of languages. The language which learned by people are chose by the roulette algorithm. The result shows that Bengali, Punjabi languages will fall out of top 10 and the language of French and German will get into the top 10. We believe that this work will contribute to the construction of linguistic disciplines and the development of languages.
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CITATION STYLE
Tu, H., Wang, W., Zhao, Y., & Zhang, L. (2019). Cellular Automata Epidemic (CAE) Model for Language Development Prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11792 LNCS, pp. 22–29). Springer. https://doi.org/10.1007/978-3-030-30949-7_3
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