Reasoning in reference games: Individual-vs. Population-level probabilistic modeling

40Citations
Citations of this article
68Readers
Mendeley users who have this article in their library.

Abstract

Recent advances in probabilistic pragmatics have achieved considerable success in modeling speakers’ and listeners’ pragmatic reasoning as probabilistic inference. However, these models are usually applied to population-level data, and so implicitly suggest a homogeneous population without individual differences. Here we investigate potential individual differences in Theory-of-Mind related depth of pragmatic reasoning in so-called reference games that require drawing ad hoc Quantity implicatures of varying complexity. We show by Bayesian model comparison that a model that assumes a heterogenous population is a better predictor of our data, especially for comprehension. We discuss the implications for the treatment of individual differences in probabilistic models of language use.

Cite

CITATION STYLE

APA

Franke, M., & Degen, J. (2016). Reasoning in reference games: Individual-vs. Population-level probabilistic modeling. PLoS ONE, 11(5). https://doi.org/10.1371/journal.pone.0154854

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free