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        <title>Towards functional, agent-based models of dogwhistle communication</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T Towards functional, agent-based models of dogwhistle communication
%A Henderson, Robert
%A McCready, Elin
%S Proceedings of the Probability and Meaning Conference (PaM 2020)
%D 2020
%8 June
%I Association for Computational Linguistics
%C Gothenburg
%F henderson-mccready-2020-towards
%X 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.
%U https://aclanthology.org/2020.pam-1.10
%P 73-77

Markdown (Informal)

[Towards functional, agent-based models of dogwhistle communication](https://aclanthology.org/2020.pam-1.10) (Henderson & McCready, PaM 2020)

• Towards functional, agent-based models of dogwhistle communication (Henderson & McCready, PaM 2020)

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.