Defeasible Argumentation-based Epistemic Planning with Preferences

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 argumentat...

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Autores: Teze, Juan Carlos L., Godo, Lluis, Simari, Gerardo I.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/392199
Acceso en línea:http://hdl.handle.net/10261/392199
Access Level:acceso abierto
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spelling Defeasible Argumentation-based Epistemic Planning with PreferencesTeze, Juan Carlos L.Godo, LluisSimari, Gerardo I.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.The authors are indebted to Guillermo R. Simari for inspiring discussions and to anonymous reviewers for their helpful comments. This work was funded in part by Universidad Nacional del Sur (UNS) under grants PGI 24/ZN057 and PGI 24/N055, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) under grant PIP 11220210100577CO, Agencia Nacional de Promoción Científica y Tecnológica, Argentina under grant PICT-2018-0475 (PRH-2014-0007), and Universidad Nacional de Entre Ríos (UNER) under grant PDTS-UNER 7066. Godo acknowledges partial support by the Spanish project LINEXSYS (PID2022-139835NB-C21) funded by MCIN/AEI/10.13039/501100011033.Peer reviewedCollege PublicationsUniversidad Nacional del SurConsejo Nacional de Investigaciones Científicas y Técnicas (Argentina)Agencia Nacional de Promoción Científica y Tecnológica (Argentina)Universidad Nacional de Entre Ríos (Argentina)Agencia Estatal de Investigación (España)Ministerio de Ciencia, Innovación y Universidades (España)Godo, Lluis [0000-0002-6929-3126]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/392199reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139835NB-C21https://collegepublications.co.uk/ifcolog/Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3921992026-05-22T06:33:51Z
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 L.
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
dc.creator.none.fl_str_mv Teze, Juan Carlos L.
Godo, Lluis
Simari, Gerardo I.
author Teze, Juan Carlos L.
author_facet Teze, Juan Carlos L.
Godo, Lluis
Simari, Gerardo I.
author_role author
author2 Godo, Lluis
Simari, Gerardo I.
author2_role author
author
dc.contributor.none.fl_str_mv Universidad Nacional del Sur
Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)
Agencia Nacional de Promoción Científica y Tecnológica (Argentina)
Universidad Nacional de Entre Ríos (Argentina)
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Godo, Lluis [0000-0002-6929-3126]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
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.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/392199
url http://hdl.handle.net/10261/392199
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139835NB-C21
https://collegepublications.co.uk/ifcolog/
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv College Publications
publisher.none.fl_str_mv College Publications
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
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