Reasoning in Reference Games: Individual- vs. Population-Level Probabilistic Modeling
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...
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| Veröffentlicht in: | PloS one 2016-05, Vol.11 (5), p.e0154854-e0154854 |
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| description | 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. |
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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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0154854</identifier><identifier>PMID: 27149675</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Bayes Theorem ; Bayesian analysis ; Biology and Life Sciences ; Cognition & reasoning ; Comprehension ; Decision Making ; Engineering and Technology ; Experimental psychology ; Fingers & toes ; Games ; Games, Experimental ; Humans ; Language ; Mathematical models ; Medicine and Health Sciences ; Memory ; Modelling ; Models, Statistical ; Population ; Probabilistic inference ; Probabilistic models ; Quantitative psychology ; Reasoning ; Social Sciences ; Theory</subject><ispartof>PloS one, 2016-05, Vol.11 (5), p.e0154854-e0154854</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Franke, Degen. 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| subjects | Analysis Bayes Theorem Bayesian analysis Biology and Life Sciences Cognition & reasoning Comprehension Decision Making Engineering and Technology Experimental psychology Fingers & toes Games Games, Experimental Humans Language Mathematical models Medicine and Health Sciences Memory Modelling Models, Statistical Population Probabilistic inference Probabilistic models Quantitative psychology Reasoning Social Sciences Theory |
| title | Reasoning in Reference Games: Individual- vs. Population-Level Probabilistic Modeling |
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