Computational Modelling of Evolution of Language

This paper describes the uses of computer models in studying the evolution of language. Language is a complex dynamic system that can be studied at two fold one at the level of biological evolution of some innate linguistic ability, and other at the level of cultural evolution of specific languages and language families. The dynamics of language evolution or rather language acquisition occurs because of the interaction between these two levels that makes the complex system of language in a population. To investigate this complex dynamics of language evolution computer models are indispensable tool. Using computer models it make plausible to do as many hypothetical experiments as one wants. Thus, Computer modelling allows us to investigate the long-term dynamics of this system and to perform hypothetical experiments on it by changing parameters and investigating how they influence the model’s behavior. In this paper we investigate different computational models i.e., agent based models, genetic algorithm based models, and artificial life based models.