A framework for arguing from analogy: preliminary results

Autores
Budán, Maximiliano Celmo David; Budán, Paola D.; Simari, Guillermo Ricardo
Año de publicación
2013
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Human reasoning applies argumentation patterns to draw conclusions about a particular subject. These patterns represent the structure of the arguments in the form of argumentation schemes which are useful in AI to emulate human reasoning. A type of argument schema is that what allow to analyze the similarities and diferences between two arguments, to find a solution to a new problem from an already known one. Researchers in the heavily studied field of analogies in discourse have recognized that there is not a full and complete definition to indicate when two arguments are considered analogous. Our proposal presents an initial attempt to formalize argumentation schemes based on analogies, considering a relationship of analogy between arguments. This will contribute to the area increasing such schemes usefulness in Artifícial Intelligence (AI), since it can be implemented later in Defeasible Logic Programming (DeLP).
Workshop agentes y sistemas inteligentes.
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
inteligencia artificial
defeasible logic programming
Intelligent agents
patterns
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/31346
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/31346
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A framework for arguing from analogy: preliminary resultsBudán, Maximiliano Celmo DavidBudán, Paola D.Simari, Guillermo RicardoCiencias Informáticasinteligencia artificialdefeasible logic programmingIntelligent agentspatternsHuman reasoning applies argumentation patterns to draw conclusions about a particular subject. These patterns represent the structure of the arguments in the form of argumentation schemes which are useful in AI to emulate human reasoning. A type of argument schema is that what allow to analyze the similarities and diferences between two arguments, to find a solution to a new problem from an already known one. Researchers in the heavily studied field of analogies in discourse have recognized that there is not a full and complete definition to indicate when two arguments are considered analogous. Our proposal presents an initial attempt to formalize argumentation schemes based on analogies, considering a relationship of analogy between arguments. This will contribute to the area increasing such schemes usefulness in Artifícial Intelligence (AI), since it can be implemented later in Defeasible Logic Programming (DeLP).Workshop agentes y sistemas inteligentes.Red de Universidades con Carreras en Informática (RedUNCI)2013info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/31346enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-12T10:22:44Zoai:sedici.unlp.edu.ar:10915/31346Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-12 10:22:45.272SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A framework for arguing from analogy: preliminary results
title A framework for arguing from analogy: preliminary results
spellingShingle A framework for arguing from analogy: preliminary results
Budán, Maximiliano Celmo David
Ciencias Informáticas
inteligencia artificial
defeasible logic programming
Intelligent agents
patterns
title_short A framework for arguing from analogy: preliminary results
title_full A framework for arguing from analogy: preliminary results
title_fullStr A framework for arguing from analogy: preliminary results
title_full_unstemmed A framework for arguing from analogy: preliminary results
title_sort A framework for arguing from analogy: preliminary results
dc.creator.none.fl_str_mv Budán, Maximiliano Celmo David
Budán, Paola D.
Simari, Guillermo Ricardo
author Budán, Maximiliano Celmo David
author_facet Budán, Maximiliano Celmo David
Budán, Paola D.
Simari, Guillermo Ricardo
author_role author
author2 Budán, Paola D.
Simari, Guillermo Ricardo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
inteligencia artificial
defeasible logic programming
Intelligent agents
patterns
topic Ciencias Informáticas
inteligencia artificial
defeasible logic programming
Intelligent agents
patterns
dc.description.none.fl_txt_mv Human reasoning applies argumentation patterns to draw conclusions about a particular subject. These patterns represent the structure of the arguments in the form of argumentation schemes which are useful in AI to emulate human reasoning. A type of argument schema is that what allow to analyze the similarities and diferences between two arguments, to find a solution to a new problem from an already known one. Researchers in the heavily studied field of analogies in discourse have recognized that there is not a full and complete definition to indicate when two arguments are considered analogous. Our proposal presents an initial attempt to formalize argumentation schemes based on analogies, considering a relationship of analogy between arguments. This will contribute to the area increasing such schemes usefulness in Artifícial Intelligence (AI), since it can be implemented later in Defeasible Logic Programming (DeLP).
Workshop agentes y sistemas inteligentes.
Red de Universidades con Carreras en Informática (RedUNCI)
description Human reasoning applies argumentation patterns to draw conclusions about a particular subject. These patterns represent the structure of the arguments in the form of argumentation schemes which are useful in AI to emulate human reasoning. A type of argument schema is that what allow to analyze the similarities and diferences between two arguments, to find a solution to a new problem from an already known one. Researchers in the heavily studied field of analogies in discourse have recognized that there is not a full and complete definition to indicate when two arguments are considered analogous. Our proposal presents an initial attempt to formalize argumentation schemes based on analogies, considering a relationship of analogy between arguments. This will contribute to the area increasing such schemes usefulness in Artifícial Intelligence (AI), since it can be implemented later in Defeasible Logic Programming (DeLP).
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/31346
url http://sedici.unlp.edu.ar/handle/10915/31346
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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