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Computer simulation has recently been adopted into the research of language evolution. As a general review to linguists, we discuss in this paper: why we need computer simulation in evolutionary linguistics; what are the primary advantages and inevitable limitations of this approach; and how to transform the abstract theories or hypotheses of language evolution into the physical mechanisms or scenarios...
Studying language evolution has become resurgent in modern scientific research. In this revival field, approaches from a number of disciplines other than linguistics, including (paleo)anthropology and archaeology, animal behaviors, genetics, neuroscience, computer simulation, and psychological experimentation, have been adopted, and a wide scope of topics have been examined in one way or another,...
Based on three evolutionary computational models that respectively simulate lexical, categorical and syntactic evolutions, we explore the effect of power-law distributed social popularity on language origin and change. Simulation results reveal a critical scaling degree (λ ≈ 1.0) in power-law distributions that helps accelerate the diffusion of linguistic conventions and preserve high linguistic understandability...
In this paper, a frame of natural computation has been proposed in order to deal with the challenge from new computing branches such as DNA computation and quantum computation to traditional computing theory, and computation is considered as the inherent mechanism of the nature and the foundation of intelligence. Simulating computation has been created and improved via inspiration of natural computation,...
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