@inproceedings{5809dc95ef904e40a97f0848f183baf2,
title = "Spatial community structure impedes language amalgamation in a population-based iterated learning model",
abstract = "The iterated learning model is an agent-based model of language evolution notable for demonstrating the emergence of compositional language. In its original form, it modelled language evolution along a single chain of teacher-pupil interactions; here we modify the model to allow more complex patterns of communication within a population and use the extended model to quantify the effect of within-community and between-community communication frequency on language development. We find that a small amount of between-community communication can lead to population-wide language convergence but that this global language amalgamation is more difficult to achieve when communities are spatially embedded.",
keywords = "language, evolution, iterated learning model, Agent-Based Model, network, space, community structure",
author = "Sains, {George R} and Conor Houghton and Seth Bullock",
year = "2023",
month = jul,
day = "24",
doi = "10.1162/isal_a_00657",
language = "English",
series = "ALIFE : proceedings of the artificial life conference.",
publisher = "Massachusetts Institute of Technology (MIT) Press",
pages = "377--385",
editor = "Hero Iizuka and Keisuke Suzuki and Ryoko Uno and Luisa Damiano and N Spychalav and Miguel Aguilera and Eduardo Izquierdo and Reiji Suzuki and Manuel Baltieri",
booktitle = "Proceedings of the Artificial Life Conference 2023 (ALIFE 2023)",
address = "United States",
note = "The 2023 Conference on Artificial Life ; Conference date: 24-07-2023 Through 28-07-2023",
}