Actions and arguments: preliminaries and examples

Autores
Simari, Guillermo Ricardo; García, Alejandro Javier
Año de publicación
2001
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The goal of this work involves the developing of an argumentation-based formalism that an agent could use for constructing plans. In this formalism, agents will have certain knowledge about the world, and a set of actions that they will be capable of execution. The agent’s knowledge will be represented by a knowledge base, using Defeasible Logic Programming. Actions will provide agents the ability of change their world, adding or removing facts from their knowledge base. We will develop here a formalism for representing actions in a defeasible argumentation environment. We will show how an agent may select a sequence of actions in order to satisfy some goal, and this action selection is more involved than expected.
Eje: Informática teórica
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Planning
Defeasible argumentation
informática
ARTIFICIAL INTELLIGENCE
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:10915/23292

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spelling Actions and arguments: preliminaries and examplesSimari, Guillermo RicardoGarcía, Alejandro JavierCiencias InformáticasPlanningDefeasible argumentationinformáticaARTIFICIAL INTELLIGENCEThe goal of this work involves the developing of an argumentation-based formalism that an agent could use for constructing plans. In this formalism, agents will have certain knowledge about the world, and a set of actions that they will be capable of execution. The agent’s knowledge will be represented by a knowledge base, using Defeasible Logic Programming. Actions will provide agents the ability of change their world, adding or removing facts from their knowledge base. We will develop here a formalism for representing actions in a defeasible argumentation environment. We will show how an agent may select a sequence of actions in order to satisfy some goal, and this action selection is more involved than expected.Eje: Informática teóricaRed de Universidades con Carreras en Informática (RedUNCI)2001-10info: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/10915/23292enginfo: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:UNLP2025-09-29T10:55:25Zoai:sedici.unlp.edu.ar:10915/23292Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:25.8SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Actions and arguments: preliminaries and examples
title Actions and arguments: preliminaries and examples
spellingShingle Actions and arguments: preliminaries and examples
Simari, Guillermo Ricardo
Ciencias Informáticas
Planning
Defeasible argumentation
informática
ARTIFICIAL INTELLIGENCE
title_short Actions and arguments: preliminaries and examples
title_full Actions and arguments: preliminaries and examples
title_fullStr Actions and arguments: preliminaries and examples
title_full_unstemmed Actions and arguments: preliminaries and examples
title_sort Actions and arguments: preliminaries and examples
dc.creator.none.fl_str_mv Simari, Guillermo Ricardo
García, Alejandro Javier
author Simari, Guillermo Ricardo
author_facet Simari, Guillermo Ricardo
García, Alejandro Javier
author_role author
author2 García, Alejandro Javier
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Planning
Defeasible argumentation
informática
ARTIFICIAL INTELLIGENCE
topic Ciencias Informáticas
Planning
Defeasible argumentation
informática
ARTIFICIAL INTELLIGENCE
dc.description.none.fl_txt_mv The goal of this work involves the developing of an argumentation-based formalism that an agent could use for constructing plans. In this formalism, agents will have certain knowledge about the world, and a set of actions that they will be capable of execution. The agent’s knowledge will be represented by a knowledge base, using Defeasible Logic Programming. Actions will provide agents the ability of change their world, adding or removing facts from their knowledge base. We will develop here a formalism for representing actions in a defeasible argumentation environment. We will show how an agent may select a sequence of actions in order to satisfy some goal, and this action selection is more involved than expected.
Eje: Informática teórica
Red de Universidades con Carreras en Informática (RedUNCI)
description The goal of this work involves the developing of an argumentation-based formalism that an agent could use for constructing plans. In this formalism, agents will have certain knowledge about the world, and a set of actions that they will be capable of execution. The agent’s knowledge will be represented by a knowledge base, using Defeasible Logic Programming. Actions will provide agents the ability of change their world, adding or removing facts from their knowledge base. We will develop here a formalism for representing actions in a defeasible argumentation environment. We will show how an agent may select a sequence of actions in order to satisfy some goal, and this action selection is more involved than expected.
publishDate 2001
dc.date.none.fl_str_mv 2001-10
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info:eu-repo/semantics/publishedVersion
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http://purl.org/coar/resource_type/c_5794
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dc.language.none.fl_str_mv eng
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
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