Abstract
Henderson and McCready 2017, 2018, 2019 build a novel theory of so-called ‘dogwhistle’ communication by extending the social meaning games of Burnett 2017. This work reports on an ongoing project to build systems to model the evolution of dogwhistle communication in a population based on probability monads (Erwig and Kollmansberger, 2006; Kidd, 2007). The ultimate results will be useful not just for dogwhistles, but modeling the diffusion and evolution of social meaning in populations in general. The initial results presented here is a computational implementation of Henderson and McCready 2018, which will serve as the basis for models with multiple speakers and repeated interactions.- Anthology ID:
- 2020.pam-1.10
- Volume:
- Proceedings of the Probability and Meaning Conference (PaM 2020)
- Month:
- June
- Year:
- 2020
- Address:
- Gothenburg
- Editors:
- Christine Howes, Stergios Chatzikyriakidis, Adam Ek, Vidya Somashekarappa
- Venue:
- PaM
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 73–77
- Language:
- URL:
- https://aclanthology.org/2020.pam-1.10
- DOI:
- Cite (ACL):
- Robert Henderson and Elin McCready. 2020. Towards functional, agent-based models of dogwhistle communication. In Proceedings of the Probability and Meaning Conference (PaM 2020), pages 73–77, Gothenburg. Association for Computational Linguistics.
- Cite (Informal):
- Towards functional, agent-based models of dogwhistle communication (Henderson & McCready, PaM 2020)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2020.pam-1.10.pdf