Towards teaching Artificial Intelligence using a Model-Driven approach

Autores
Gutierrez, M.; Roa, Jorge; Santana, W.; Stegmayer, Georgina
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In computer science, it is quite difficult to teach well an introductory course on AI,partly because AI lacks a unified methodology, overlaps with many other disciplines, and involves a wide range of skills from very applied to quite formal. When teaching Artificial Intelligence, models are the principal artifacts used by professors to communicate concepts. These models should be used as part of a technical answer of a practical work, with the aim of narrowing the distance between concepts and their implementation in a programming language. The model-driven development presents a very promising approach to reduce the difficulties in the generation of code solutions. This work presents an MDD-based method, a language to define intelligent agent and a computational tool that gives support to the MDDbased method.
Fil: Gutierrez, M.. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; Argentina
Fil: Roa, Jorge. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; Argentina
Fil: Santana, W.. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; Argentina
Fil: Stegmayer, Georgina. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe; Argentina
Materia
Inteligencia Artificial
Educacion
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/6423
Acceder
id CONICETDig_7eac9d095ec8576f3302e7a23c5d3c9c
oai_identifier_str oai:ri.conicet.gov.ar:11336/6423
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Towards teaching Artificial Intelligence using a Model-Driven approachGutierrez, M.Roa, JorgeSantana, W.Stegmayer, GeorginaInteligencia ArtificialEducacionhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In computer science, it is quite difficult to teach well an introductory course on AI,partly because AI lacks a unified methodology, overlaps with many other disciplines, and involves a wide range of skills from very applied to quite formal. When teaching Artificial Intelligence, models are the principal artifacts used by professors to communicate concepts. These models should be used as part of a technical answer of a practical work, with the aim of narrowing the distance between concepts and their implementation in a programming language. The model-driven development presents a very promising approach to reduce the difficulties in the generation of code solutions. This work presents an MDD-based method, a language to define intelligent agent and a computational tool that gives support to the MDDbased method.Fil: Gutierrez, M.. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; ArgentinaFil: Roa, Jorge. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; ArgentinaFil: Santana, W.. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; ArgentinaFil: Stegmayer, Georgina. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe; ArgentinaPushpa Publishing House2013-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6423Gutierrez, M.; Roa, Jorge; Santana, W.; Stegmayer, Georgina; Towards teaching Artificial Intelligence using a Model-Driven approach; Pushpa Publishing House; Advanced Studies in Artificial Intelligence; 1; 1; 12-2013; 27-442394-7993enginfo:eu-repo/semantics/altIdentifier/url/http://www.pphmj.com/abstract/8222.htminfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:35:10Zoai:ri.conicet.gov.ar:11336/6423instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:35:10.312CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Towards teaching Artificial Intelligence using a Model-Driven approach
title Towards teaching Artificial Intelligence using a Model-Driven approach
spellingShingle Towards teaching Artificial Intelligence using a Model-Driven approach
Gutierrez, M.
Inteligencia Artificial
Educacion
title_short Towards teaching Artificial Intelligence using a Model-Driven approach
title_full Towards teaching Artificial Intelligence using a Model-Driven approach
title_fullStr Towards teaching Artificial Intelligence using a Model-Driven approach
title_full_unstemmed Towards teaching Artificial Intelligence using a Model-Driven approach
title_sort Towards teaching Artificial Intelligence using a Model-Driven approach
dc.creator.none.fl_str_mv Gutierrez, M.
Roa, Jorge
Santana, W.
Stegmayer, Georgina
author Gutierrez, M.
author_facet Gutierrez, M.
Roa, Jorge
Santana, W.
Stegmayer, Georgina
author_role author
author2 Roa, Jorge
Santana, W.
Stegmayer, Georgina
author2_role author
author
author
dc.subject.none.fl_str_mv Inteligencia Artificial
Educacion
topic Inteligencia Artificial
Educacion
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In computer science, it is quite difficult to teach well an introductory course on AI,partly because AI lacks a unified methodology, overlaps with many other disciplines, and involves a wide range of skills from very applied to quite formal. When teaching Artificial Intelligence, models are the principal artifacts used by professors to communicate concepts. These models should be used as part of a technical answer of a practical work, with the aim of narrowing the distance between concepts and their implementation in a programming language. The model-driven development presents a very promising approach to reduce the difficulties in the generation of code solutions. This work presents an MDD-based method, a language to define intelligent agent and a computational tool that gives support to the MDDbased method.
Fil: Gutierrez, M.. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; Argentina
Fil: Roa, Jorge. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; Argentina
Fil: Santana, W.. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; Argentina
Fil: Stegmayer, Georgina. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe; Argentina
description In computer science, it is quite difficult to teach well an introductory course on AI,partly because AI lacks a unified methodology, overlaps with many other disciplines, and involves a wide range of skills from very applied to quite formal. When teaching Artificial Intelligence, models are the principal artifacts used by professors to communicate concepts. These models should be used as part of a technical answer of a practical work, with the aim of narrowing the distance between concepts and their implementation in a programming language. The model-driven development presents a very promising approach to reduce the difficulties in the generation of code solutions. This work presents an MDD-based method, a language to define intelligent agent and a computational tool that gives support to the MDDbased method.
publishDate 2013
dc.date.none.fl_str_mv 2013-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/6423
Gutierrez, M.; Roa, Jorge; Santana, W.; Stegmayer, Georgina; Towards teaching Artificial Intelligence using a Model-Driven approach; Pushpa Publishing House; Advanced Studies in Artificial Intelligence; 1; 1; 12-2013; 27-44
2394-7993
url http://hdl.handle.net/11336/6423
identifier_str_mv Gutierrez, M.; Roa, Jorge; Santana, W.; Stegmayer, Georgina; Towards teaching Artificial Intelligence using a Model-Driven approach; Pushpa Publishing House; Advanced Studies in Artificial Intelligence; 1; 1; 12-2013; 27-44
2394-7993
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.pphmj.com/abstract/8222.htm
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Pushpa Publishing House
publisher.none.fl_str_mv Pushpa Publishing House
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083478600286208
score 13.22299

Publicaciones similares