Defeasible Argumentation-based Epistemic Planning with Preferences
- Autores
- Teze, Juan Carlos Lionel; Godo, Lluis; Simari, Gerardo
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Many real-world applications of intelligent systems involve solving planning problems of different nature, oftentimes in dynamic environments and having to deal with potentially contradictory information, leading to what is commonly known as epistemic planning. In this context, defeasible argumentation is a powerful tool that has been developed for over three decades as a practical mechanism that allows for flexible handling of preferences and explainable reasoning. In this article, we first motivate the need to develop argumentationbased epistemic planning frameworks that can be leveraged in real-world applications, describe the related literature, and then provide an overview of a recently-proposed approach to incorporate defeasible argumentation and preferences into automated planning processes. In particular, the framework incorporates conditional expressions to select and change priorities regarding information upon which plans are constructed. We describe its main properties, analyze its strengths and limitations using an illustrative use case, and discuss several future research directions that can be taken to further develop it.
Fil: Teze, Juan Carlos Lionel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias de la Administración; Argentina
Fil: Godo, Lluis. Consejo Superior de Investigaciones Cientificas. Instituto de Investigacion En Inteligencia Artificial.; España
Fil: Simari, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina - Materia
-
Planning
Defeasible argumentation
Preferences - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/278859
Ver los metadatos del registro completo
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Defeasible Argumentation-based Epistemic Planning with PreferencesTeze, Juan Carlos LionelGodo, LluisSimari, GerardoPlanningDefeasible argumentationPreferenceshttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Many real-world applications of intelligent systems involve solving planning problems of different nature, oftentimes in dynamic environments and having to deal with potentially contradictory information, leading to what is commonly known as epistemic planning. In this context, defeasible argumentation is a powerful tool that has been developed for over three decades as a practical mechanism that allows for flexible handling of preferences and explainable reasoning. In this article, we first motivate the need to develop argumentationbased epistemic planning frameworks that can be leveraged in real-world applications, describe the related literature, and then provide an overview of a recently-proposed approach to incorporate defeasible argumentation and preferences into automated planning processes. In particular, the framework incorporates conditional expressions to select and change priorities regarding information upon which plans are constructed. We describe its main properties, analyze its strengths and limitations using an illustrative use case, and discuss several future research directions that can be taken to further develop it.Fil: Teze, Juan Carlos Lionel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias de la Administración; ArgentinaFil: Godo, Lluis. Consejo Superior de Investigaciones Cientificas. Instituto de Investigacion En Inteligencia Artificial.; EspañaFil: Simari, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaCollege Publications2025-03info: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/11336/278859Teze, Juan Carlos Lionel; Godo, Lluis; Simari, Gerardo; Defeasible Argumentation-based Epistemic Planning with Preferences; College Publications; Journal of Applied Logics; 12; 3; 3-2025; 787-8232631-98102631-9829CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.collegepublications.co.uk/ifcolog/?00071info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-01-14T13:02:46Zoai:ri.conicet.gov.ar:11336/278859instacron: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:34982026-01-14 13:02:46.929CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Defeasible Argumentation-based Epistemic Planning with Preferences |
| title |
Defeasible Argumentation-based Epistemic Planning with Preferences |
| spellingShingle |
Defeasible Argumentation-based Epistemic Planning with Preferences Teze, Juan Carlos Lionel Planning Defeasible argumentation Preferences |
| title_short |
Defeasible Argumentation-based Epistemic Planning with Preferences |
| title_full |
Defeasible Argumentation-based Epistemic Planning with Preferences |
| title_fullStr |
Defeasible Argumentation-based Epistemic Planning with Preferences |
| title_full_unstemmed |
Defeasible Argumentation-based Epistemic Planning with Preferences |
| title_sort |
Defeasible Argumentation-based Epistemic Planning with Preferences |
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Teze, Juan Carlos Lionel Godo, Lluis Simari, Gerardo |
| author |
Teze, Juan Carlos Lionel |
| author_facet |
Teze, Juan Carlos Lionel Godo, Lluis Simari, Gerardo |
| author_role |
author |
| author2 |
Godo, Lluis Simari, Gerardo |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Planning Defeasible argumentation Preferences |
| topic |
Planning Defeasible argumentation Preferences |
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https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
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Many real-world applications of intelligent systems involve solving planning problems of different nature, oftentimes in dynamic environments and having to deal with potentially contradictory information, leading to what is commonly known as epistemic planning. In this context, defeasible argumentation is a powerful tool that has been developed for over three decades as a practical mechanism that allows for flexible handling of preferences and explainable reasoning. In this article, we first motivate the need to develop argumentationbased epistemic planning frameworks that can be leveraged in real-world applications, describe the related literature, and then provide an overview of a recently-proposed approach to incorporate defeasible argumentation and preferences into automated planning processes. In particular, the framework incorporates conditional expressions to select and change priorities regarding information upon which plans are constructed. We describe its main properties, analyze its strengths and limitations using an illustrative use case, and discuss several future research directions that can be taken to further develop it. Fil: Teze, Juan Carlos Lionel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias de la Administración; Argentina Fil: Godo, Lluis. Consejo Superior de Investigaciones Cientificas. Instituto de Investigacion En Inteligencia Artificial.; España Fil: Simari, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina |
| description |
Many real-world applications of intelligent systems involve solving planning problems of different nature, oftentimes in dynamic environments and having to deal with potentially contradictory information, leading to what is commonly known as epistemic planning. In this context, defeasible argumentation is a powerful tool that has been developed for over three decades as a practical mechanism that allows for flexible handling of preferences and explainable reasoning. In this article, we first motivate the need to develop argumentationbased epistemic planning frameworks that can be leveraged in real-world applications, describe the related literature, and then provide an overview of a recently-proposed approach to incorporate defeasible argumentation and preferences into automated planning processes. In particular, the framework incorporates conditional expressions to select and change priorities regarding information upon which plans are constructed. We describe its main properties, analyze its strengths and limitations using an illustrative use case, and discuss several future research directions that can be taken to further develop it. |
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2025 |
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2025-03 |
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http://hdl.handle.net/11336/278859 Teze, Juan Carlos Lionel; Godo, Lluis; Simari, Gerardo; Defeasible Argumentation-based Epistemic Planning with Preferences; College Publications; Journal of Applied Logics; 12; 3; 3-2025; 787-823 2631-9810 2631-9829 CONICET Digital CONICET |
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Teze, Juan Carlos Lionel; Godo, Lluis; Simari, Gerardo; Defeasible Argumentation-based Epistemic Planning with Preferences; College Publications; Journal of Applied Logics; 12; 3; 3-2025; 787-823 2631-9810 2631-9829 CONICET Digital CONICET |
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