How the ability to analyse tendencies influences decision satisfaction
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/50520 |
Resumo: | Using agents to represent decision-makers is a complex task. It is important that agents can understand the context and be more proactive. Here we propose a model and an algorithm that will allow the agent to analyse tendencies regarding the number of supporters for each alternative along the process. It is intended that agents can be more dynamic and intelligent and can evaluate different contexts throughout the decision-making process. We believe agents will achieve better and consensual decisions more easily. We tested our model in three simulation environments with different complexity levels. Our model proved that agents that use it will obtain higher average consensus and satisfaction levels. Besides that, agents using this model will obtain those higher consensus and satisfaction levels in most of the times compared to agents that do not use it. |
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How the ability to analyse tendencies influences decision satisfactionGroup Decision Support SystemsArgumentationDecision SatisfactionAutomatic NegotiationMulti-Agent SystemsEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaUsing agents to represent decision-makers is a complex task. It is important that agents can understand the context and be more proactive. Here we propose a model and an algorithm that will allow the agent to analyse tendencies regarding the number of supporters for each alternative along the process. It is intended that agents can be more dynamic and intelligent and can evaluate different contexts throughout the decision-making process. We believe agents will achieve better and consensual decisions more easily. We tested our model in three simulation environments with different complexity levels. Our model proved that agents that use it will obtain higher average consensus and satisfaction levels. Besides that, agents using this model will obtain those higher consensus and satisfaction levels in most of the times compared to agents that do not use it.This work is part-funded by ERDF- European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) within project FCOMP-01-0124-FEDER-028980 (PTDC/EEISII/1386/2012) and by National Funds through the FCT - Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within the Project UID/CEC/00319/2013 and the João Carneiro PhD grant with the reference SFRH/BD/89697/2012.info:eu-repo/semantics/publishedVersionSociedad Iberoamericana de Inteligencia Artificial (IBERAMIA)Universidade do MinhoCarneiro, JoãoMartinho, DiogoConceição, LuísMarreiros, GoretiNovais, Paulo2017-022017-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/50520engCarneiro J., Martinho D., Conceição L., Mareiros G., Novais P., How the ability to analyse tendencies influences decision satisfaction, Inteligencia Artificial, Vol. 20, nº 59, ISSN 1137-3601, pp 8-20, 2017. https://doi.org/10.4114/intartif.vol20iss59pp8-20.1137-36011988-306410.4114/intartif.vol20iss59pp8-20http://journal.iberamia.org/index.php/intartif/article/view/80info: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:RCAAP2023-07-21T12:01:45Zoai:repositorium.sdum.uminho.pt:1822/50520Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:51:41.165698Repositório 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 |
How the ability to analyse tendencies influences decision satisfaction |
title |
How the ability to analyse tendencies influences decision satisfaction |
spellingShingle |
How the ability to analyse tendencies influences decision satisfaction Carneiro, João Group Decision Support Systems Argumentation Decision Satisfaction Automatic Negotiation Multi-Agent Systems Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
title_short |
How the ability to analyse tendencies influences decision satisfaction |
title_full |
How the ability to analyse tendencies influences decision satisfaction |
title_fullStr |
How the ability to analyse tendencies influences decision satisfaction |
title_full_unstemmed |
How the ability to analyse tendencies influences decision satisfaction |
title_sort |
How the ability to analyse tendencies influences decision satisfaction |
author |
Carneiro, João |
author_facet |
Carneiro, João Martinho, Diogo Conceição, Luís Marreiros, Goreti Novais, Paulo |
author_role |
author |
author2 |
Martinho, Diogo Conceição, Luís Marreiros, Goreti Novais, Paulo |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Carneiro, João Martinho, Diogo Conceição, Luís Marreiros, Goreti Novais, Paulo |
dc.subject.por.fl_str_mv |
Group Decision Support Systems Argumentation Decision Satisfaction Automatic Negotiation Multi-Agent Systems Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
topic |
Group Decision Support Systems Argumentation Decision Satisfaction Automatic Negotiation Multi-Agent Systems Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
description |
Using agents to represent decision-makers is a complex task. It is important that agents can understand the context and be more proactive. Here we propose a model and an algorithm that will allow the agent to analyse tendencies regarding the number of supporters for each alternative along the process. It is intended that agents can be more dynamic and intelligent and can evaluate different contexts throughout the decision-making process. We believe agents will achieve better and consensual decisions more easily. We tested our model in three simulation environments with different complexity levels. Our model proved that agents that use it will obtain higher average consensus and satisfaction levels. Besides that, agents using this model will obtain those higher consensus and satisfaction levels in most of the times compared to agents that do not use it. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-02 2017-02-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/50520 |
url |
http://hdl.handle.net/1822/50520 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Carneiro J., Martinho D., Conceição L., Mareiros G., Novais P., How the ability to analyse tendencies influences decision satisfaction, Inteligencia Artificial, Vol. 20, nº 59, ISSN 1137-3601, pp 8-20, 2017. https://doi.org/10.4114/intartif.vol20iss59pp8-20. 1137-3601 1988-3064 10.4114/intartif.vol20iss59pp8-20 http://journal.iberamia.org/index.php/intartif/article/view/80 |
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 |
Sociedad Iberoamericana de Inteligencia Artificial (IBERAMIA) |
publisher.none.fl_str_mv |
Sociedad Iberoamericana de Inteligencia Artificial (IBERAMIA) |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132290363686912 |