Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico

Autores
Bodanza, Gustavo Adrian
Año de publicación
2006
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Scientific explanations and predictions are made of arguments. The theories provide the premises that, under specific initial condi-tions, support the conclusions: statements describing the phenom-ena to be explained or predicted. These arguments are defeasi-ble, since one theory might elicit better arguments than another. This lead us to the idea that the process by which scientific expla-nations and predictions are justified can be studied through models of defeasible argumentation. This work introduces a simple model in which arguments conformed by structures of the form átheory, factñ interact through a defeat relation towards a final acceptance (or rejection) within the represented scientific field. Taking rela-tions like explicative strength and simplicity as implicit in the defeat relation, the model can represent the usual circumstances in sci-ence where a weakly explicative theory survives because of meth-odological advantages like simplicity.
Fil: Bodanza, Gustavo Adrian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Materia
REPRESENTATION OF SCIENTIFIC KNOWLEDGE
DEFEASIBLE ARGUMENTATION
SCIENTIFIC EXPLANATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/98566
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científicoBodanza, Gustavo AdrianREPRESENTATION OF SCIENTIFIC KNOWLEDGEDEFEASIBLE ARGUMENTATIONSCIENTIFIC EXPLANATIONhttps://purl.org/becyt/ford/6.3https://purl.org/becyt/ford/6Scientific explanations and predictions are made of arguments. The theories provide the premises that, under specific initial condi-tions, support the conclusions: statements describing the phenom-ena to be explained or predicted. These arguments are defeasi-ble, since one theory might elicit better arguments than another. This lead us to the idea that the process by which scientific expla-nations and predictions are justified can be studied through models of defeasible argumentation. This work introduces a simple model in which arguments conformed by structures of the form átheory, factñ interact through a defeat relation towards a final acceptance (or rejection) within the represented scientific field. Taking rela-tions like explicative strength and simplicity as implicit in the defeat relation, the model can represent the usual circumstances in sci-ence where a weakly explicative theory survives because of meth-odological advantages like simplicity.Fil: Bodanza, Gustavo Adrian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaSirca Publicaciones Académicas2006-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/98566Bodanza, Gustavo Adrian; Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico; Sirca Publicaciones Académicas; Representaciones; 2; 2; 11-2006; 1-151669-8401CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://revistas.unc.edu.ar/index.php/repr/issue/archiveinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-12T09:42:20Zoai:ri.conicet.gov.ar:11336/98566instacron: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:34982025-11-12 09:42:20.98CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico
title Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico
spellingShingle Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico
Bodanza, Gustavo Adrian
REPRESENTATION OF SCIENTIFIC KNOWLEDGE
DEFEASIBLE ARGUMENTATION
SCIENTIFIC EXPLANATION
title_short Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico
title_full Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico
title_fullStr Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico
title_full_unstemmed Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico
title_sort Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico
dc.creator.none.fl_str_mv Bodanza, Gustavo Adrian
author Bodanza, Gustavo Adrian
author_facet Bodanza, Gustavo Adrian
author_role author
dc.subject.none.fl_str_mv REPRESENTATION OF SCIENTIFIC KNOWLEDGE
DEFEASIBLE ARGUMENTATION
SCIENTIFIC EXPLANATION
topic REPRESENTATION OF SCIENTIFIC KNOWLEDGE
DEFEASIBLE ARGUMENTATION
SCIENTIFIC EXPLANATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/6.3
https://purl.org/becyt/ford/6
dc.description.none.fl_txt_mv Scientific explanations and predictions are made of arguments. The theories provide the premises that, under specific initial condi-tions, support the conclusions: statements describing the phenom-ena to be explained or predicted. These arguments are defeasi-ble, since one theory might elicit better arguments than another. This lead us to the idea that the process by which scientific expla-nations and predictions are justified can be studied through models of defeasible argumentation. This work introduces a simple model in which arguments conformed by structures of the form átheory, factñ interact through a defeat relation towards a final acceptance (or rejection) within the represented scientific field. Taking rela-tions like explicative strength and simplicity as implicit in the defeat relation, the model can represent the usual circumstances in sci-ence where a weakly explicative theory survives because of meth-odological advantages like simplicity.
Fil: Bodanza, Gustavo Adrian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
description Scientific explanations and predictions are made of arguments. The theories provide the premises that, under specific initial condi-tions, support the conclusions: statements describing the phenom-ena to be explained or predicted. These arguments are defeasi-ble, since one theory might elicit better arguments than another. This lead us to the idea that the process by which scientific expla-nations and predictions are justified can be studied through models of defeasible argumentation. This work introduces a simple model in which arguments conformed by structures of the form átheory, factñ interact through a defeat relation towards a final acceptance (or rejection) within the represented scientific field. Taking rela-tions like explicative strength and simplicity as implicit in the defeat relation, the model can represent the usual circumstances in sci-ence where a weakly explicative theory survives because of meth-odological advantages like simplicity.
publishDate 2006
dc.date.none.fl_str_mv 2006-11
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/11336/98566
Bodanza, Gustavo Adrian; Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico; Sirca Publicaciones Académicas; Representaciones; 2; 2; 11-2006; 1-15
1669-8401
CONICET Digital
CONICET
url http://hdl.handle.net/11336/98566
identifier_str_mv Bodanza, Gustavo Adrian; Representación argumentativa del razonamiento sobre interpretaciones del conocimiento científico; Sirca Publicaciones Académicas; Representaciones; 2; 2; 11-2006; 1-15
1669-8401
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://revistas.unc.edu.ar/index.php/repr/issue/archive
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Sirca Publicaciones Académicas
publisher.none.fl_str_mv Sirca Publicaciones Académicas
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 12.976206

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