A New Model for Automatic Generation of Plan Libraries for Plan Recognition
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/BJV3N2_2006_P1 |
Resumo: | In the context of Computer Aided Process Planning (CAPP), feature recognition as well as the generation of manufacturing process plans are very diffi cult problems. The selection of the best manufacturing process plan usually involves not only measurable factors, but also idiosyncrasies, preferences and the know-how of both the company and the manufacturing engineer. In this scenario, mixed-initiative techniques such as planrecognition, where both human users and intelligent agents interact proactively, are useful tools for improving engineer’s productivity and quality of process plans. In order to be effective, these intelligent agents must learn autonomously this preferences and know-how. The problem of learning plan libraries for plan recognition has gained much importance in recent years, because of the dependence of the existing plan recognition techniques on them, and the diffi culty of the problem. Even when there is considerable work related to the plan recognition process itself, less work has been done on thegeneration of such plan libraries. In this paper, we present some preliminary ideas for a new approach for acquiring hierarchical plan libraries automatically, based only on a few simple assumptions and with little given knowledge. |
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Brazilian Journal of Operations & Production Management (Online) |
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|
spelling |
A New Model for Automatic Generation of Plan Libraries for Plan RecognitionIn the context of Computer Aided Process Planning (CAPP), feature recognition as well as the generation of manufacturing process plans are very diffi cult problems. The selection of the best manufacturing process plan usually involves not only measurable factors, but also idiosyncrasies, preferences and the know-how of both the company and the manufacturing engineer. In this scenario, mixed-initiative techniques such as planrecognition, where both human users and intelligent agents interact proactively, are useful tools for improving engineer’s productivity and quality of process plans. In order to be effective, these intelligent agents must learn autonomously this preferences and know-how. The problem of learning plan libraries for plan recognition has gained much importance in recent years, because of the dependence of the existing plan recognition techniques on them, and the diffi culty of the problem. Even when there is considerable work related to the plan recognition process itself, less work has been done on thegeneration of such plan libraries. In this paper, we present some preliminary ideas for a new approach for acquiring hierarchical plan libraries automatically, based only on a few simple assumptions and with little given knowledge.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2010-02-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://bjopm.org.br/bjopm/article/view/BJV3N2_2006_P1Brazilian Journal of Operations & Production Management; Vol. 3 No. 2 (2006): December, 2006; 5-192237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/BJV3N2_2006_P1/pdf_22Marchetta, Martín G.Forradellas, Raymundo Q.info:eu-repo/semantics/openAccess2019-04-04T07:29:14Zoai:ojs.bjopm.org.br:article/24Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:00.712425Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
A New Model for Automatic Generation of Plan Libraries for Plan Recognition |
title |
A New Model for Automatic Generation of Plan Libraries for Plan Recognition |
spellingShingle |
A New Model for Automatic Generation of Plan Libraries for Plan Recognition Marchetta, Martín G. |
title_short |
A New Model for Automatic Generation of Plan Libraries for Plan Recognition |
title_full |
A New Model for Automatic Generation of Plan Libraries for Plan Recognition |
title_fullStr |
A New Model for Automatic Generation of Plan Libraries for Plan Recognition |
title_full_unstemmed |
A New Model for Automatic Generation of Plan Libraries for Plan Recognition |
title_sort |
A New Model for Automatic Generation of Plan Libraries for Plan Recognition |
author |
Marchetta, Martín G. |
author_facet |
Marchetta, Martín G. Forradellas, Raymundo Q. |
author_role |
author |
author2 |
Forradellas, Raymundo Q. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Marchetta, Martín G. Forradellas, Raymundo Q. |
description |
In the context of Computer Aided Process Planning (CAPP), feature recognition as well as the generation of manufacturing process plans are very diffi cult problems. The selection of the best manufacturing process plan usually involves not only measurable factors, but also idiosyncrasies, preferences and the know-how of both the company and the manufacturing engineer. In this scenario, mixed-initiative techniques such as planrecognition, where both human users and intelligent agents interact proactively, are useful tools for improving engineer’s productivity and quality of process plans. In order to be effective, these intelligent agents must learn autonomously this preferences and know-how. The problem of learning plan libraries for plan recognition has gained much importance in recent years, because of the dependence of the existing plan recognition techniques on them, and the diffi culty of the problem. Even when there is considerable work related to the plan recognition process itself, less work has been done on thegeneration of such plan libraries. In this paper, we present some preliminary ideas for a new approach for acquiring hierarchical plan libraries automatically, based only on a few simple assumptions and with little given knowledge. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-02-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/BJV3N2_2006_P1 |
url |
https://bjopm.org.br/bjopm/article/view/BJV3N2_2006_P1 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/BJV3N2_2006_P1/pdf_22 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 3 No. 2 (2006): December, 2006; 5-19 2237-8960 reponame:Brazilian Journal of Operations & Production Management (Online) instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051459560275968 |