Analysis of models and metacognitive architectures in intelligent systems
Recently Intelligent Systems (IS) have highly increased the autonomy of their decisions, this has been achieved by improving metacognitive skills. The term metacognition in Artifi cial Intelligence (AI) refers to the capability of IS to monitor and control their own learning processes. This paper de...
- Autores:
-
Caro Piñeres, Manuel Fernando
Jiménez Builes, Jovani Alberto
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2013
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/73150
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/73150
http://bdigital.unal.edu.co/37625/
- Palabra clave:
- Artifi cial Intelligence
Metacognition
Metamemory
MetaComprehension
SelfRegulation
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Caro Piñeres, Manuel Fernando5ca1e1ec-7cc9-4720-af51-9bfca4f5709c300Jiménez Builes, Jovani Alberto3e6b0160-ace1-407c-b068-cd5bb12b67ae3002019-07-03T15:56:44Z2019-07-03T15:56:44Z2013https://repositorio.unal.edu.co/handle/unal/73150http://bdigital.unal.edu.co/37625/Recently Intelligent Systems (IS) have highly increased the autonomy of their decisions, this has been achieved by improving metacognitive skills. The term metacognition in Artifi cial Intelligence (AI) refers to the capability of IS to monitor and control their own learning processes. This paper describes different models used to address the implementation of metacognition in IS. Then, we present a comparative analysis among the different models of metacognition. As well as, a discussion about the following categories of analysis: types of metacognition architectural support of metacognition components, architectural cores and computational implementations.application/pdfspaUniversidad Nacional de Colombia Sede Medellínhttp://revistas.unal.edu.co/index.php/dyna/article/view/39453Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaDYNA; Vol. 80, núm. 180 (2013); 50-59 Dyna; Vol. 80, núm. 180 (2013); 50-59 2346-2183 0012-7353Caro Piñeres, Manuel Fernando and Jiménez Builes, Jovani Alberto (2013) Analysis of models and metacognitive architectures in intelligent systems. DYNA; Vol. 80, núm. 180 (2013); 50-59 Dyna; Vol. 80, núm. 180 (2013); 50-59 2346-2183 0012-7353 .Analysis of models and metacognitive architectures in intelligent systemsArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTArtifi cial IntelligenceMetacognitionMetamemoryMetaComprehensionSelfRegulationORIGINAL39453-175546-1-PB.pdfapplication/pdf593156https://repositorio.unal.edu.co/bitstream/unal/73150/1/39453-175546-1-PB.pdfca376629acf61eb49b516f9087fc0d07MD5139453-208707-1-PB.htmltext/html35548https://repositorio.unal.edu.co/bitstream/unal/73150/2/39453-208707-1-PB.htmla74cd0a429bde0cd0f3f3e36c145be62MD52THUMBNAIL39453-175546-1-PB.pdf.jpg39453-175546-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg10241https://repositorio.unal.edu.co/bitstream/unal/73150/3/39453-175546-1-PB.pdf.jpg1a4b220af8103d609eccee4341e82a15MD53unal/73150oai:repositorio.unal.edu.co:unal/731502023-06-27 23:06:25.758Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |
dc.title.spa.fl_str_mv |
Analysis of models and metacognitive architectures in intelligent systems |
title |
Analysis of models and metacognitive architectures in intelligent systems |
spellingShingle |
Analysis of models and metacognitive architectures in intelligent systems Artifi cial Intelligence Metacognition Metamemory MetaComprehension SelfRegulation |
title_short |
Analysis of models and metacognitive architectures in intelligent systems |
title_full |
Analysis of models and metacognitive architectures in intelligent systems |
title_fullStr |
Analysis of models and metacognitive architectures in intelligent systems |
title_full_unstemmed |
Analysis of models and metacognitive architectures in intelligent systems |
title_sort |
Analysis of models and metacognitive architectures in intelligent systems |
dc.creator.fl_str_mv |
Caro Piñeres, Manuel Fernando Jiménez Builes, Jovani Alberto |
dc.contributor.author.spa.fl_str_mv |
Caro Piñeres, Manuel Fernando Jiménez Builes, Jovani Alberto |
dc.subject.proposal.spa.fl_str_mv |
Artifi cial Intelligence Metacognition Metamemory MetaComprehension SelfRegulation |
topic |
Artifi cial Intelligence Metacognition Metamemory MetaComprehension SelfRegulation |
description |
Recently Intelligent Systems (IS) have highly increased the autonomy of their decisions, this has been achieved by improving metacognitive skills. The term metacognition in Artifi cial Intelligence (AI) refers to the capability of IS to monitor and control their own learning processes. This paper describes different models used to address the implementation of metacognition in IS. Then, we present a comparative analysis among the different models of metacognition. As well as, a discussion about the following categories of analysis: types of metacognition architectural support of metacognition components, architectural cores and computational implementations. |
publishDate |
2013 |
dc.date.issued.spa.fl_str_mv |
2013 |
dc.date.accessioned.spa.fl_str_mv |
2019-07-03T15:56:44Z |
dc.date.available.spa.fl_str_mv |
2019-07-03T15:56:44Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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http://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/resource_type/c_6501 |
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publishedVersion |
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https://repositorio.unal.edu.co/handle/unal/73150 |
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http://bdigital.unal.edu.co/37625/ |
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https://repositorio.unal.edu.co/handle/unal/73150 http://bdigital.unal.edu.co/37625/ |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.spa.fl_str_mv |
http://revistas.unal.edu.co/index.php/dyna/article/view/39453 |
dc.relation.ispartof.spa.fl_str_mv |
Universidad Nacional de Colombia Revistas electrónicas UN Dyna Dyna |
dc.relation.ispartofseries.none.fl_str_mv |
DYNA; Vol. 80, núm. 180 (2013); 50-59 Dyna; Vol. 80, núm. 180 (2013); 50-59 2346-2183 0012-7353 |
dc.relation.references.spa.fl_str_mv |
Caro Piñeres, Manuel Fernando and Jiménez Builes, Jovani Alberto (2013) Analysis of models and metacognitive architectures in intelligent systems. DYNA; Vol. 80, núm. 180 (2013); 50-59 Dyna; Vol. 80, núm. 180 (2013); 50-59 2346-2183 0012-7353 . |
dc.rights.spa.fl_str_mv |
Derechos reservados - Universidad Nacional de Colombia |
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http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.mimetype.spa.fl_str_mv |
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Universidad Nacional de Colombia Sede Medellín |
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Universidad Nacional de Colombia |
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