Agent-based models of language evolution have received a lot of attention in the last two decades. Researchers wish to understand the origin of language, and aim to compensate for the lacking empirical evidence by utilizing methods from computer science and artificial life. The paper looks at the main theories of language evolution: biological evolution, learning, and cultural evolution. In particular, the Baldwin effect in a naming game model is elaborated on by describing a set of experimental simulations. This is on-going work and ideas for further investigating the social aspects of language evolution are also discussed.
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