A Practical Introduction to the Rational Speech Act Modeling Framework

Authors: Scontras, Gregory, Tessler, Michael Henry, Franke, Michael

Publication: arXiv (2021)

DOI: 10.48550/arXiv.2105.09867

arXiv: 2105.09867

URL: https://doi.org/10.48550/arXiv.2105.09867

Philosophically-motivated questions

Analysis by Charles Rathkopf Last updated: June 2026

[Questions to be written]

Abstract

Recent advances in computational cognitive science (i.e., simulation-based probabilistic programs) have paved the way for significant progress in formal, implementable models of pragmatics. Rather than describing a pragmatic reasoning process in prose, these models formalize and implement one, deriving both qualitative and quantitative predictions of human behavior – predictions that consistently prove correct, demonstrating the viability and value of the framework. The current paper provides a practical introduction to and critical assessment of the Bayesian Rational Speech Act modeling framework, unpacking theoretical foundations, exploring technological innovations, and drawing connections to issues beyond current applications.

Citation for this analysis

Charles Rathkopf, “Philosophical Questions in A Practical Introduction to the Rational Speech Act Modeling Framework,” AI Deception Papers, June 2026, https://doi.org/10.48550/arXiv.2105.09867