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- W2109581014 abstract "In this article I provide a review of studies that have modeled interactions between language evolution and demographic processes. The models are classified in terms of three different approaches: analytical modeling, agent-based analytical modeling, and agent-based cognitive modeling. I show that these approaches differ in the complexity of interactions that they can handle and that the agent-based cognitive models allow for the most detailed and realistic simulations. Thus readers are provided with a guideline for selecting which approach to use for a given problem. The analytical models are useful for studying interactions between demography and language evolution in terms of high-level processes; the agent-based analytical models are good for studying such interactions in terms of social dynamics without bothering too much about the cognitive mechanisms of language processing; and the agent-based cognitive models are best suited for the study of the interactions between the complex sociocognitive mechanisms underlying language evolution." @default.
- W2109581014 created "2016-06-24" @default.
- W2109581014 creator A5042097701 @default.
- W2109581014 date "2009-04-01" @default.
- W2109581014 modified "2023-09-26" @default.
- W2109581014 title "Modeling Interactions between Language Evolution and Demography" @default.
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- W2109581014 doi "https://doi.org/10.3378/027.081.0307" @default.
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