Environmental Impact on Evolving Language Diversity

Furman, G and Nitschke, G (2021) Environmental Impact on Evolving Language Diversity, Proceedings of Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2021).

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Abstract

There has been a significant amount of research on computational modeling of language evolution to understand the origins and evolution of communication. However, there has been relatively little computational modeling of environmental factors influencing the evolution of linguistic diversity and thus the emergence and merging of dialects. Using evolutionary agent-based simulation, this study investigates environmental factors influencing the emergence of linguistic diversity in an evolving agentbased language simulation. We used iterative agent-based naming game simulations to evaluate the impact resources, population, and environment size have on evolving language diversity. A specific aim was to investigate thresholds (tipping-points) in factors that cause significant changes to linguistic diversity in populations.

Item Type: Conference paper
Subjects: Computing methodologies > Machine learning
Date Deposited: 03 Dec 2021 11:15
Last Modified: 03 Dec 2021 11:15
URI: https://pubs.cs.uct.ac.za/id/eprint/1487

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