A survey on applications of coalition formation in multi‐agent systems

Detalhes bibliográficos
Autor(a) principal: Sarkar, Samriddhi
Data de Publicação: 2022
Outros Autores: Curado Malta, Mariana, Dutta, Animesh
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/21473
Resumo: The objective of coalition formation is to partition the agent set that gives the highest utility to the system. Over the past three decades, coalition formation has been applied to various real-life applications where agents need to form efficient groups to accomplish a task. This article presents a study of the state-of-the-art approaches to the applications of coalition formation. In particular, it surveys the algorithmic approaches for optimizing the system’s welfare. The algorithms are then analyzed based on a framework that consists of two dimensions: (i) the features of the problem environment, which gives an overview of the complexity level of the environment, and (ii) the features of the problem solver, which gives an overview of the solution quality. Our study analyses the approaches in terms of the framework mentioned above, justifies the use of the approaches in a particular problem setting, presents guidance to choose the right algorithmic approach for a problem at hand, and classifies the state-of-the-art approaches according to their basic working principles. This article also presents possible future directions of work to the research community. This study shows that theoretical models need more research before they can be deployed in the real world.
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spelling A survey on applications of coalition formation in multi‐agent systemsAnalysisApplicationsCoalition formationFeaturesMulti-agent systemsSystematic literature reviewThe objective of coalition formation is to partition the agent set that gives the highest utility to the system. Over the past three decades, coalition formation has been applied to various real-life applications where agents need to form efficient groups to accomplish a task. This article presents a study of the state-of-the-art approaches to the applications of coalition formation. In particular, it surveys the algorithmic approaches for optimizing the system’s welfare. The algorithms are then analyzed based on a framework that consists of two dimensions: (i) the features of the problem environment, which gives an overview of the complexity level of the environment, and (ii) the features of the problem solver, which gives an overview of the solution quality. Our study analyses the approaches in terms of the framework mentioned above, justifies the use of the approaches in a particular problem setting, presents guidance to choose the right algorithmic approach for a problem at hand, and classifies the state-of-the-art approaches according to their basic working principles. This article also presents possible future directions of work to the research community. This study shows that theoretical models need more research before they can be deployed in the real world.WileyRepositório Científico do Instituto Politécnico do PortoSarkar, SamriddhiCurado Malta, MarianaDutta, Animesh2023-01-12T13:52:59Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/21473eng10.1002/cpe.6876metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:17:19Zoai:recipp.ipp.pt:10400.22/21473Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:41:32.182431Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A survey on applications of coalition formation in multi‐agent systems
title A survey on applications of coalition formation in multi‐agent systems
spellingShingle A survey on applications of coalition formation in multi‐agent systems
Sarkar, Samriddhi
Analysis
Applications
Coalition formation
Features
Multi-agent systems
Systematic literature review
title_short A survey on applications of coalition formation in multi‐agent systems
title_full A survey on applications of coalition formation in multi‐agent systems
title_fullStr A survey on applications of coalition formation in multi‐agent systems
title_full_unstemmed A survey on applications of coalition formation in multi‐agent systems
title_sort A survey on applications of coalition formation in multi‐agent systems
author Sarkar, Samriddhi
author_facet Sarkar, Samriddhi
Curado Malta, Mariana
Dutta, Animesh
author_role author
author2 Curado Malta, Mariana
Dutta, Animesh
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Sarkar, Samriddhi
Curado Malta, Mariana
Dutta, Animesh
dc.subject.por.fl_str_mv Analysis
Applications
Coalition formation
Features
Multi-agent systems
Systematic literature review
topic Analysis
Applications
Coalition formation
Features
Multi-agent systems
Systematic literature review
description The objective of coalition formation is to partition the agent set that gives the highest utility to the system. Over the past three decades, coalition formation has been applied to various real-life applications where agents need to form efficient groups to accomplish a task. This article presents a study of the state-of-the-art approaches to the applications of coalition formation. In particular, it surveys the algorithmic approaches for optimizing the system’s welfare. The algorithms are then analyzed based on a framework that consists of two dimensions: (i) the features of the problem environment, which gives an overview of the complexity level of the environment, and (ii) the features of the problem solver, which gives an overview of the solution quality. Our study analyses the approaches in terms of the framework mentioned above, justifies the use of the approaches in a particular problem setting, presents guidance to choose the right algorithmic approach for a problem at hand, and classifies the state-of-the-art approaches according to their basic working principles. This article also presents possible future directions of work to the research community. This study shows that theoretical models need more research before they can be deployed in the real world.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-01-12T13:52:59Z
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url http://hdl.handle.net/10400.22/21473
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1002/cpe.6876
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dc.publisher.none.fl_str_mv Wiley
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