Tendencies in Multi-Agents Systems: A Systematic Literature Review

Autores
Falco, Mariana; Robiolo, Gabriela
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The application of Artificial Intelligence mechanisms allows the development of systems capable to solve very complex engineering problems. Multi-agent systems (MAS) are one paradigm that allows an alternative way to design distributed control systems. While research in this area grew exponentially before 2009, there is a need to understand the status quo of the field from 2009 to June 2017. An extension of the results of a SLR related to Multi-Agent Systems, its applications and research gaps, following Kitchenham and Wholin guidelines are presented in this paper. From the analysis of 279 papers (out of 3522 candidates), our findings suggest that: a) there were 20 gaps related to agent-oriented methodologies; coordination, cooperation and negotiation; modelling, developing, testing and debugging; b) 24 gaps related to specific domains (recycling, dynamic evacuation, hazard management, health-care, industry, logistics and manufacturing, machine learning, ambient assisted living); and 14 gaps related to specific areas within MAS (A-Teams, dynamic MAS and mobile agents, ABMS, evolutionary MAS, and self-organizing MAS). These gaps specify lines of research where the MAS community must work to achieve the unification of the agent-oriented paradigm; as well as strengthen ties with the industry.
Fil: Falco, Mariana. Universidad Austral. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Fil: Robiolo, Gabriela. Universidad Austral. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Materia
AOSE COMPONENTS
MAS RESEARCH GAPS
MULTI-AGENT SYSTEMS
SYSTEMATIC LITERATURE REVIEW
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/218477
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Tendencies in Multi-Agents Systems: A Systematic Literature ReviewFalco, MarianaRobiolo, GabrielaAOSE COMPONENTSMAS RESEARCH GAPSMULTI-AGENT SYSTEMSSYSTEMATIC LITERATURE REVIEWhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The application of Artificial Intelligence mechanisms allows the development of systems capable to solve very complex engineering problems. Multi-agent systems (MAS) are one paradigm that allows an alternative way to design distributed control systems. While research in this area grew exponentially before 2009, there is a need to understand the status quo of the field from 2009 to June 2017. An extension of the results of a SLR related to Multi-Agent Systems, its applications and research gaps, following Kitchenham and Wholin guidelines are presented in this paper. From the analysis of 279 papers (out of 3522 candidates), our findings suggest that: a) there were 20 gaps related to agent-oriented methodologies; coordination, cooperation and negotiation; modelling, developing, testing and debugging; b) 24 gaps related to specific domains (recycling, dynamic evacuation, hazard management, health-care, industry, logistics and manufacturing, machine learning, ambient assisted living); and 14 gaps related to specific areas within MAS (A-Teams, dynamic MAS and mobile agents, ABMS, evolutionary MAS, and self-organizing MAS). These gaps specify lines of research where the MAS community must work to achieve the unification of the agent-oriented paradigm; as well as strengthen ties with the industry.Fil: Falco, Mariana. Universidad Austral. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; ArgentinaFil: Robiolo, Gabriela. Universidad Austral. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; ArgentinaLatin American Center for Informatics Studies2020-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/218477Falco, Mariana; Robiolo, Gabriela; Tendencies in Multi-Agents Systems: A Systematic Literature Review; Latin American Center for Informatics Studies; CLEI Eletronic Journal; 23; 1; 2-2020; 1-130717-50000717-5000CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.clei.org/cleiej/index.php/cleiej/article/view/456info:eu-repo/semantics/altIdentifier/doi/10.19153/cleiej.23.1.1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:33:10Zoai:ri.conicet.gov.ar:11336/218477instacron: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:34982025-09-29 10:33:10.336CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Tendencies in Multi-Agents Systems: A Systematic Literature Review
title Tendencies in Multi-Agents Systems: A Systematic Literature Review
spellingShingle Tendencies in Multi-Agents Systems: A Systematic Literature Review
Falco, Mariana
AOSE COMPONENTS
MAS RESEARCH GAPS
MULTI-AGENT SYSTEMS
SYSTEMATIC LITERATURE REVIEW
title_short Tendencies in Multi-Agents Systems: A Systematic Literature Review
title_full Tendencies in Multi-Agents Systems: A Systematic Literature Review
title_fullStr Tendencies in Multi-Agents Systems: A Systematic Literature Review
title_full_unstemmed Tendencies in Multi-Agents Systems: A Systematic Literature Review
title_sort Tendencies in Multi-Agents Systems: A Systematic Literature Review
dc.creator.none.fl_str_mv Falco, Mariana
Robiolo, Gabriela
author Falco, Mariana
author_facet Falco, Mariana
Robiolo, Gabriela
author_role author
author2 Robiolo, Gabriela
author2_role author
dc.subject.none.fl_str_mv AOSE COMPONENTS
MAS RESEARCH GAPS
MULTI-AGENT SYSTEMS
SYSTEMATIC LITERATURE REVIEW
topic AOSE COMPONENTS
MAS RESEARCH GAPS
MULTI-AGENT SYSTEMS
SYSTEMATIC LITERATURE REVIEW
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The application of Artificial Intelligence mechanisms allows the development of systems capable to solve very complex engineering problems. Multi-agent systems (MAS) are one paradigm that allows an alternative way to design distributed control systems. While research in this area grew exponentially before 2009, there is a need to understand the status quo of the field from 2009 to June 2017. An extension of the results of a SLR related to Multi-Agent Systems, its applications and research gaps, following Kitchenham and Wholin guidelines are presented in this paper. From the analysis of 279 papers (out of 3522 candidates), our findings suggest that: a) there were 20 gaps related to agent-oriented methodologies; coordination, cooperation and negotiation; modelling, developing, testing and debugging; b) 24 gaps related to specific domains (recycling, dynamic evacuation, hazard management, health-care, industry, logistics and manufacturing, machine learning, ambient assisted living); and 14 gaps related to specific areas within MAS (A-Teams, dynamic MAS and mobile agents, ABMS, evolutionary MAS, and self-organizing MAS). These gaps specify lines of research where the MAS community must work to achieve the unification of the agent-oriented paradigm; as well as strengthen ties with the industry.
Fil: Falco, Mariana. Universidad Austral. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Fil: Robiolo, Gabriela. Universidad Austral. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
description The application of Artificial Intelligence mechanisms allows the development of systems capable to solve very complex engineering problems. Multi-agent systems (MAS) are one paradigm that allows an alternative way to design distributed control systems. While research in this area grew exponentially before 2009, there is a need to understand the status quo of the field from 2009 to June 2017. An extension of the results of a SLR related to Multi-Agent Systems, its applications and research gaps, following Kitchenham and Wholin guidelines are presented in this paper. From the analysis of 279 papers (out of 3522 candidates), our findings suggest that: a) there were 20 gaps related to agent-oriented methodologies; coordination, cooperation and negotiation; modelling, developing, testing and debugging; b) 24 gaps related to specific domains (recycling, dynamic evacuation, hazard management, health-care, industry, logistics and manufacturing, machine learning, ambient assisted living); and 14 gaps related to specific areas within MAS (A-Teams, dynamic MAS and mobile agents, ABMS, evolutionary MAS, and self-organizing MAS). These gaps specify lines of research where the MAS community must work to achieve the unification of the agent-oriented paradigm; as well as strengthen ties with the industry.
publishDate 2020
dc.date.none.fl_str_mv 2020-02
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/11336/218477
Falco, Mariana; Robiolo, Gabriela; Tendencies in Multi-Agents Systems: A Systematic Literature Review; Latin American Center for Informatics Studies; CLEI Eletronic Journal; 23; 1; 2-2020; 1-13
0717-5000
0717-5000
CONICET Digital
CONICET
url http://hdl.handle.net/11336/218477
identifier_str_mv Falco, Mariana; Robiolo, Gabriela; Tendencies in Multi-Agents Systems: A Systematic Literature Review; Latin American Center for Informatics Studies; CLEI Eletronic Journal; 23; 1; 2-2020; 1-13
0717-5000
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.clei.org/cleiej/index.php/cleiej/article/view/456
info:eu-repo/semantics/altIdentifier/doi/10.19153/cleiej.23.1.1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Latin American Center for Informatics Studies
publisher.none.fl_str_mv Latin American Center for Informatics Studies
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
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score 13.070432

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