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Communicating Compositional Patterns

How do people perceive and communicate structure? We investigate this question by letting participants play a communication game, where one player describes a pattern, and another player redraws it based on the description alone. We use this paradigm to compare two models of pattern description, one...

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Detalles Bibliográficos
Autores principales: Schulz, Eric, Quiroga, Francisco, Gershman, Samuel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412198/
https://www.ncbi.nlm.nih.gov/pubmed/34485791
http://dx.doi.org/10.1162/opmi_a_00032
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author Schulz, Eric
Quiroga, Francisco
Gershman, Samuel J.
author_facet Schulz, Eric
Quiroga, Francisco
Gershman, Samuel J.
author_sort Schulz, Eric
collection PubMed
description How do people perceive and communicate structure? We investigate this question by letting participants play a communication game, where one player describes a pattern, and another player redraws it based on the description alone. We use this paradigm to compare two models of pattern description, one compositional (complex structures built out of simpler ones) and one noncompositional. We find that compositional patterns are communicated more effectively than noncompositional patterns, that a compositional model of pattern description predicts which patterns are harder to describe, and that this model can be used to evaluate participants’ drawings, producing humanlike quality ratings. Our results suggest that natural language can tap into a compositionally structured pattern description language.
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spelling pubmed-84121982021-09-03 Communicating Compositional Patterns Schulz, Eric Quiroga, Francisco Gershman, Samuel J. Open Mind (Camb) Research Articles How do people perceive and communicate structure? We investigate this question by letting participants play a communication game, where one player describes a pattern, and another player redraws it based on the description alone. We use this paradigm to compare two models of pattern description, one compositional (complex structures built out of simpler ones) and one noncompositional. We find that compositional patterns are communicated more effectively than noncompositional patterns, that a compositional model of pattern description predicts which patterns are harder to describe, and that this model can be used to evaluate participants’ drawings, producing humanlike quality ratings. Our results suggest that natural language can tap into a compositionally structured pattern description language. MIT Press 2020-08-01 /pmc/articles/PMC8412198/ /pubmed/34485791 http://dx.doi.org/10.1162/opmi_a_00032 Text en © 2020 Massachusetts Institute of Technology https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Articles
Schulz, Eric
Quiroga, Francisco
Gershman, Samuel J.
Communicating Compositional Patterns
title Communicating Compositional Patterns
title_full Communicating Compositional Patterns
title_fullStr Communicating Compositional Patterns
title_full_unstemmed Communicating Compositional Patterns
title_short Communicating Compositional Patterns
title_sort communicating compositional patterns
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412198/
https://www.ncbi.nlm.nih.gov/pubmed/34485791
http://dx.doi.org/10.1162/opmi_a_00032
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