Modeling interactions between language evolution and demography

Human Biology
Paul Vogt

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.

Citations

Jul 18, 2019·Proceedings. Biological Sciences·Limor RavivShiri Lev-Ari
Aug 19, 2020·Cognitive Science·Limor RavivShiri Lev-Ari
Jun 22, 2021·PloS One·Cecilia Padilla-IglesiasLaura A Shneidman

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