A mixed-initiative approach to computer aided process planning

Autores
Marchetta, Martín G.; Forradellas, Raymundo Quilez
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Several approaches have been proposed in order to develop intelligent applications on Computer Aided Process Planning (CAPP) domain. These approaches range from historic designs storage for later recovery, to generative synthesis of process plans. Although these approaches present advantages over traditional methods, they have several drawbacks derived specially from the under and over-automation of the decision processes. In this paper a mixed-initiative model for CAPP systems is proposed, that integrates plan recognition of user’s intentions, with planning techniques in the context of artificial intelligence, in order to synthesize new designs that fulfill process planner’s inferred intentions, thus improving the usability and usefulness of such intelligent assistants.
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
computer aided process planning
mixed-initiative system
Intelligent agents
Planificación
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:10915/22697
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/22697
network_acronym_str SEDICI
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network_name_str SEDICI (UNLP)
spelling A mixed-initiative approach to computer aided process planningMarchetta, Martín G.Forradellas, Raymundo QuilezCiencias Informáticascomputer aided process planningmixed-initiative systemIntelligent agentsPlanificaciónSeveral approaches have been proposed in order to develop intelligent applications on Computer Aided Process Planning (CAPP) domain. These approaches range from historic designs storage for later recovery, to generative synthesis of process plans. Although these approaches present advantages over traditional methods, they have several drawbacks derived specially from the under and over-automation of the decision processes. In this paper a mixed-initiative model for CAPP systems is proposed, that integrates plan recognition of user’s intentions, with planning techniques in the context of artificial intelligence, in order to synthesize new designs that fulfill process planner’s inferred intentions, thus improving the usability and usefulness of such intelligent assistants.Red de Universidades con Carreras en Informática (RedUNCI)2006-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1519-1530http://sedici.unlp.edu.ar/handle/10915/22697enginfo: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:UNLP2025-09-29T10:55:07Zoai:sedici.unlp.edu.ar:10915/22697Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:08.263SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A mixed-initiative approach to computer aided process planning
title A mixed-initiative approach to computer aided process planning
spellingShingle A mixed-initiative approach to computer aided process planning
Marchetta, Martín G.
Ciencias Informáticas
computer aided process planning
mixed-initiative system
Intelligent agents
Planificación
title_short A mixed-initiative approach to computer aided process planning
title_full A mixed-initiative approach to computer aided process planning
title_fullStr A mixed-initiative approach to computer aided process planning
title_full_unstemmed A mixed-initiative approach to computer aided process planning
title_sort A mixed-initiative approach to computer aided process planning
dc.creator.none.fl_str_mv Marchetta, Martín G.
Forradellas, Raymundo Quilez
author Marchetta, Martín G.
author_facet Marchetta, Martín G.
Forradellas, Raymundo Quilez
author_role author
author2 Forradellas, Raymundo Quilez
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
computer aided process planning
mixed-initiative system
Intelligent agents
Planificación
topic Ciencias Informáticas
computer aided process planning
mixed-initiative system
Intelligent agents
Planificación
dc.description.none.fl_txt_mv Several approaches have been proposed in order to develop intelligent applications on Computer Aided Process Planning (CAPP) domain. These approaches range from historic designs storage for later recovery, to generative synthesis of process plans. Although these approaches present advantages over traditional methods, they have several drawbacks derived specially from the under and over-automation of the decision processes. In this paper a mixed-initiative model for CAPP systems is proposed, that integrates plan recognition of user’s intentions, with planning techniques in the context of artificial intelligence, in order to synthesize new designs that fulfill process planner’s inferred intentions, thus improving the usability and usefulness of such intelligent assistants.
Red de Universidades con Carreras en Informática (RedUNCI)
description Several approaches have been proposed in order to develop intelligent applications on Computer Aided Process Planning (CAPP) domain. These approaches range from historic designs storage for later recovery, to generative synthesis of process plans. Although these approaches present advantages over traditional methods, they have several drawbacks derived specially from the under and over-automation of the decision processes. In this paper a mixed-initiative model for CAPP systems is proposed, that integrates plan recognition of user’s intentions, with planning techniques in the context of artificial intelligence, in order to synthesize new designs that fulfill process planner’s inferred intentions, thus improving the usability and usefulness of such intelligent assistants.
publishDate 2006
dc.date.none.fl_str_mv 2006-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/22697
url http://sedici.unlp.edu.ar/handle/10915/22697
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
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
1519-1530
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
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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score 13.070432

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