I present a computational-level model of semantic interference effects in word production. Word production is cast as a rate-distortion problem where an agent selects words to minimize a measure of cost while also minimizing the resources used to compute the output word based on perceptual input and behavioral goals. I show that similarity-based interference among words arises naturally in this setup, and I present a series of simulations showing that the model captures some of the key empirical patterns observed in Stroop and Picture-Word Interference paradigms. I argue that the rate-distortion account of interference provides a high-level formalization of computational principles that are instantiated more mechanistically in existing models.
@article{arxiv.2006.12578,
title = {An information-theoretic account of semantic interference in word production},
author = {Richard Futrell},
journal= {arXiv preprint arXiv:2006.12578},
year = {2020}
}