Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences

Autores
Minervino, Ricardo Adrian; Margni, Adrián Guillermo; Tavernini, Lucía Micaela; Trench, Juan Maximo
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The standard approach to analogical reasoning posits that the mechanism that people employ to ensure the soundness of analogical inferences consists in copying unmapped individual explicit base relations, substituting corresponding source entities with target entities, and generating slots for base entities that were unmapped. Alternatively, we contend that when the gist of the information to be transferred is better captured by relational categories than by explicit individual relations, people resort to searching for target exemplars of the base relational categories, disregarding similarity between relations. Experiment 1 revealed that for this kind of analogy, inferences that did not resemble the base analog in terms of explicit individual relations but were built on exemplars of the base relational category were judged as sounder than inferences that matched the base analog in terms of relations but not in terms of a common category. Within the framework of the proposed approach, we postulated that inference evaluation also depends on the similarity between the base and target exemplars on relevant aspects. Experiment 2 revealed that inferences were judged as sounder when the exemplars upon which the inferences were built matched the base exemplars along salient dimensions of the relational category they shared. The cognitive mechanisms unveiled by the current results suggest new avenues along which current theorization and modeling of analogical inference may develop.
Fil: Minervino, Ricardo Adrian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Comahue; Argentina
Fil: Margni, Adrián Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Comahue. Facultad de Ciencias de la Educación. Departamento de Psicología; Argentina
Fil: Tavernini, Lucía Micaela. Universidad Nacional del Comahue. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales; Argentina. Universidad Nacional del Comahue. Facultad de Ciencias de la Educación. Departamento de Psicología; Argentina
Fil: Trench, Juan Maximo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Comahue; Argentina
Materia
Analogy
Inference
Relational categories
Similarity
Evaluation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/257668
Acceder
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spelling Category Membership as a Criterion to Evaluate the Soundness of Analogical InferencesMinervino, Ricardo AdrianMargni, Adrián GuillermoTavernini, Lucía MicaelaTrench, Juan MaximoAnalogyInferenceRelational categoriesSimilarityEvaluationhttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5The standard approach to analogical reasoning posits that the mechanism that people employ to ensure the soundness of analogical inferences consists in copying unmapped individual explicit base relations, substituting corresponding source entities with target entities, and generating slots for base entities that were unmapped. Alternatively, we contend that when the gist of the information to be transferred is better captured by relational categories than by explicit individual relations, people resort to searching for target exemplars of the base relational categories, disregarding similarity between relations. Experiment 1 revealed that for this kind of analogy, inferences that did not resemble the base analog in terms of explicit individual relations but were built on exemplars of the base relational category were judged as sounder than inferences that matched the base analog in terms of relations but not in terms of a common category. Within the framework of the proposed approach, we postulated that inference evaluation also depends on the similarity between the base and target exemplars on relevant aspects. Experiment 2 revealed that inferences were judged as sounder when the exemplars upon which the inferences were built matched the base exemplars along salient dimensions of the relational category they shared. The cognitive mechanisms unveiled by the current results suggest new avenues along which current theorization and modeling of analogical inference may develop.Fil: Minervino, Ricardo Adrian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Comahue; ArgentinaFil: Margni, Adrián Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Comahue. Facultad de Ciencias de la Educación. Departamento de Psicología; ArgentinaFil: Tavernini, Lucía Micaela. Universidad Nacional del Comahue. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales; Argentina. Universidad Nacional del Comahue. Facultad de Ciencias de la Educación. Departamento de Psicología; ArgentinaFil: Trench, Juan Maximo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Comahue; ArgentinaSeoul National University. Institute for Cognitive Science2023-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/257668Minervino, Ricardo Adrian; Margni, Adrián Guillermo; Tavernini, Lucía Micaela; Trench, Juan Maximo; Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences; Seoul National University. Institute for Cognitive Science; Journal of Cognitive Science; 24; 4; 12-2023; 401-4361598-2327CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.kci.go.kr/kciportal/landing/article.kci?arti_id=ART003040760info:eu-repo/semantics/altIdentifier/doi/10.17791/jcs.2023.24.4.401info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:40:52Zoai:ri.conicet.gov.ar:11336/257668instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:40:52.374CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences
title Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences
spellingShingle Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences
Minervino, Ricardo Adrian
Analogy
Inference
Relational categories
Similarity
Evaluation
title_short Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences
title_full Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences
title_fullStr Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences
title_full_unstemmed Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences
title_sort Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences
dc.creator.none.fl_str_mv Minervino, Ricardo Adrian
Margni, Adrián Guillermo
Tavernini, Lucía Micaela
Trench, Juan Maximo
author Minervino, Ricardo Adrian
author_facet Minervino, Ricardo Adrian
Margni, Adrián Guillermo
Tavernini, Lucía Micaela
Trench, Juan Maximo
author_role author
author2 Margni, Adrián Guillermo
Tavernini, Lucía Micaela
Trench, Juan Maximo
author2_role author
author
author
dc.subject.none.fl_str_mv Analogy
Inference
Relational categories
Similarity
Evaluation
topic Analogy
Inference
Relational categories
Similarity
Evaluation
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv The standard approach to analogical reasoning posits that the mechanism that people employ to ensure the soundness of analogical inferences consists in copying unmapped individual explicit base relations, substituting corresponding source entities with target entities, and generating slots for base entities that were unmapped. Alternatively, we contend that when the gist of the information to be transferred is better captured by relational categories than by explicit individual relations, people resort to searching for target exemplars of the base relational categories, disregarding similarity between relations. Experiment 1 revealed that for this kind of analogy, inferences that did not resemble the base analog in terms of explicit individual relations but were built on exemplars of the base relational category were judged as sounder than inferences that matched the base analog in terms of relations but not in terms of a common category. Within the framework of the proposed approach, we postulated that inference evaluation also depends on the similarity between the base and target exemplars on relevant aspects. Experiment 2 revealed that inferences were judged as sounder when the exemplars upon which the inferences were built matched the base exemplars along salient dimensions of the relational category they shared. The cognitive mechanisms unveiled by the current results suggest new avenues along which current theorization and modeling of analogical inference may develop.
Fil: Minervino, Ricardo Adrian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Comahue; Argentina
Fil: Margni, Adrián Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Comahue. Facultad de Ciencias de la Educación. Departamento de Psicología; Argentina
Fil: Tavernini, Lucía Micaela. Universidad Nacional del Comahue. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales; Argentina. Universidad Nacional del Comahue. Facultad de Ciencias de la Educación. Departamento de Psicología; Argentina
Fil: Trench, Juan Maximo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Comahue; Argentina
description The standard approach to analogical reasoning posits that the mechanism that people employ to ensure the soundness of analogical inferences consists in copying unmapped individual explicit base relations, substituting corresponding source entities with target entities, and generating slots for base entities that were unmapped. Alternatively, we contend that when the gist of the information to be transferred is better captured by relational categories than by explicit individual relations, people resort to searching for target exemplars of the base relational categories, disregarding similarity between relations. Experiment 1 revealed that for this kind of analogy, inferences that did not resemble the base analog in terms of explicit individual relations but were built on exemplars of the base relational category were judged as sounder than inferences that matched the base analog in terms of relations but not in terms of a common category. Within the framework of the proposed approach, we postulated that inference evaluation also depends on the similarity between the base and target exemplars on relevant aspects. Experiment 2 revealed that inferences were judged as sounder when the exemplars upon which the inferences were built matched the base exemplars along salient dimensions of the relational category they shared. The cognitive mechanisms unveiled by the current results suggest new avenues along which current theorization and modeling of analogical inference may develop.
publishDate 2023
dc.date.none.fl_str_mv 2023-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/257668
Minervino, Ricardo Adrian; Margni, Adrián Guillermo; Tavernini, Lucía Micaela; Trench, Juan Maximo; Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences; Seoul National University. Institute for Cognitive Science; Journal of Cognitive Science; 24; 4; 12-2023; 401-436
1598-2327
CONICET Digital
CONICET
url http://hdl.handle.net/11336/257668
identifier_str_mv Minervino, Ricardo Adrian; Margni, Adrián Guillermo; Tavernini, Lucía Micaela; Trench, Juan Maximo; Category Membership as a Criterion to Evaluate the Soundness of Analogical Inferences; Seoul National University. Institute for Cognitive Science; Journal of Cognitive Science; 24; 4; 12-2023; 401-436
1598-2327
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.kci.go.kr/kciportal/landing/article.kci?arti_id=ART003040760
info:eu-repo/semantics/altIdentifier/doi/10.17791/jcs.2023.24.4.401
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Seoul National University. Institute for Cognitive Science
publisher.none.fl_str_mv Seoul National University. Institute for Cognitive Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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