Learning thresholds lead to stable language coexistence
<|reference_start|>Learning thresholds lead to stable language coexistence: We introduce a language competition model that incorporates the effects of memory and learning on the language shift dynamics, using the Abrams-Strogatz model as a starting point. On a coarse grained time scale, the effects of memory and learning can be expressed as thresholds on the speakers fractions. In its simplest form, the resulting model is exactly solvable. Besides the consensus on one of the two languages, the model describes additional equilibrium states that are not present in the Abrams-Strogatz model: a stable coexistence of the two languages, if both thresholds are low enough, so that the language shift processes in the two opposite directions compensate each other, and a frozen state coinciding with the initial state, when both thresholds are too high for any language shift to take place. We show numerically that these results are preserved for threshold functions of a more general shape.<|reference_end|>
@article{tamm2024learning,
    title={Learning thresholds lead to stable language coexistence},
    author={Mikhail V. Tamm, Els Heinsalu, Stefano Scialla, Marco Patriarca},
    journal={arXiv preprint arXiv:2406.14522},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.14522},
    primaryClass={physics.soc-ph cs.CL}
}