A preliminary study of computational complexity in non-monotonic reasoning
- Autores
- Capobianco, Marcela; Chesñevar, Carlos Iván; Simari, Guillermo Ricardo
- Año de publicación
- 2005
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- In this work we analyze existing complexity results in the area of non-monotonic reasoning in general and argumentation in particular. Even though the area of argumentation is based on solid theoretical foundations, its main problems rely on the computational complexity of the system that have so far been developed. In order to use argumentation in real time scenarios we must find an implementation with a reasonable response time. Complexity analysis of argument systems is an indispensable tool for addressing this taks. We expect that the development of this research line will result in a general analysis of the issues in complexity of argument systems, leading to an efficient implementation of a particular formalism, observation-based defeasible logic programming, that could be integrated in an intelligent agent architecture.
Eje: Inteligencia artificial
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
preliminary study
computational complexity
non-monotonic reasoning - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/21163
Ver los metadatos del registro completo
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A preliminary study of computational complexity in non-monotonic reasoningCapobianco, MarcelaChesñevar, Carlos IvánSimari, Guillermo RicardoCiencias InformáticasARTIFICIAL INTELLIGENCEpreliminary studycomputational complexitynon-monotonic reasoningIn this work we analyze existing complexity results in the area of non-monotonic reasoning in general and argumentation in particular. Even though the area of argumentation is based on solid theoretical foundations, its main problems rely on the computational complexity of the system that have so far been developed. In order to use argumentation in real time scenarios we must find an implementation with a reasonable response time. Complexity analysis of argument systems is an indispensable tool for addressing this taks. We expect that the development of this research line will result in a general analysis of the issues in complexity of argument systems, leading to an efficient implementation of a particular formalism, observation-based defeasible logic programming, that could be integrated in an intelligent agent architecture.Eje: Inteligencia artificialRed de Universidades con Carreras en Informática (RedUNCI)2005-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf383-387http://sedici.unlp.edu.ar/handle/10915/21163enginfo:eu-repo/semantics/altIdentifier/isbn/950-665-337-2info: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:UNLP2025-10-29T15:00:15Zoai:sedici.unlp.edu.ar:10915/21163Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-29 15:00:15.864SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
A preliminary study of computational complexity in non-monotonic reasoning |
| title |
A preliminary study of computational complexity in non-monotonic reasoning |
| spellingShingle |
A preliminary study of computational complexity in non-monotonic reasoning Capobianco, Marcela Ciencias Informáticas ARTIFICIAL INTELLIGENCE preliminary study computational complexity non-monotonic reasoning |
| title_short |
A preliminary study of computational complexity in non-monotonic reasoning |
| title_full |
A preliminary study of computational complexity in non-monotonic reasoning |
| title_fullStr |
A preliminary study of computational complexity in non-monotonic reasoning |
| title_full_unstemmed |
A preliminary study of computational complexity in non-monotonic reasoning |
| title_sort |
A preliminary study of computational complexity in non-monotonic reasoning |
| dc.creator.none.fl_str_mv |
Capobianco, Marcela Chesñevar, Carlos Iván Simari, Guillermo Ricardo |
| author |
Capobianco, Marcela |
| author_facet |
Capobianco, Marcela Chesñevar, Carlos Iván Simari, Guillermo Ricardo |
| author_role |
author |
| author2 |
Chesñevar, Carlos Iván Simari, Guillermo Ricardo |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE preliminary study computational complexity non-monotonic reasoning |
| topic |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE preliminary study computational complexity non-monotonic reasoning |
| dc.description.none.fl_txt_mv |
In this work we analyze existing complexity results in the area of non-monotonic reasoning in general and argumentation in particular. Even though the area of argumentation is based on solid theoretical foundations, its main problems rely on the computational complexity of the system that have so far been developed. In order to use argumentation in real time scenarios we must find an implementation with a reasonable response time. Complexity analysis of argument systems is an indispensable tool for addressing this taks. We expect that the development of this research line will result in a general analysis of the issues in complexity of argument systems, leading to an efficient implementation of a particular formalism, observation-based defeasible logic programming, that could be integrated in an intelligent agent architecture. Eje: Inteligencia artificial Red de Universidades con Carreras en Informática (RedUNCI) |
| description |
In this work we analyze existing complexity results in the area of non-monotonic reasoning in general and argumentation in particular. Even though the area of argumentation is based on solid theoretical foundations, its main problems rely on the computational complexity of the system that have so far been developed. In order to use argumentation in real time scenarios we must find an implementation with a reasonable response time. Complexity analysis of argument systems is an indispensable tool for addressing this taks. We expect that the development of this research line will result in a general analysis of the issues in complexity of argument systems, leading to an efficient implementation of a particular formalism, observation-based defeasible logic programming, that could be integrated in an intelligent agent architecture. |
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2005 |
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2005-05 |
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