Vrije Universiteit Brussel An agent-based model of sign language persistence informed by real-world data Mudd, Katie; de Vos, Connie; De Boer, Bart Published in: Language dynamics and change DOI: 10.1163/22105832-bja10010 Publication date: 2020 License: CC BY-NC Document Version: Final published version Link to publication Citation for published version (APA): Mudd, K., de Vos, C., & De Boer, B. (2020). An agent-based model of sign language persistence informed by real-world data. Language dynamics and change, 10(2), 158–187. [2]. https://doi.org/10.1163/22105832- bja10010 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 08. Oct. 2021 Language Dynamics and Change 10 (2020) 158–187 brill.com/ldc An agent-based model of sign language persistence informed by real-world data Katie Mudd Vrije Universiteit Brussel, Brussels, Belgium
[email protected] Connie de Vos | orcid: 0000-0002-4800-4313 Tilburg University, Tilburg, the Netherlands; Radboud University, Nijmegen, the Netherlands
[email protected] Bart de Boer Vrije Universiteit Brussel, Brussels, Belgium
[email protected] Abstract As evidence from sign languages is increasingly used to investigate the process of lan- guage emergence and evolution, it is important to understand the conditions that allow for sign languages to persist.