An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FURG (RI FURG) |
Texto Completo: | http://repositorio.furg.br/handle/1/4897 |
Resumo: | An open problem in social simulation and MAS applications is the self-regulation of social exchange processes, aiming at the achievement/maintenance of equilibrated exchanges by the agents themselves, providing the continuation of the interactions in time. This paper faces this problem through an approach based on the proposed spatial and evolutionary Game of Self-Regulation of Social Exchange Processes. The agents, adopting different social exchange strategies, which take into account both the short and long-term aspects of interactions, evolve such strategies by themselves in time, in order to maximize their respective strategy-based fitness functions. In consequence, the agents happen to perform more equilibrated and fair interactions, increasing the number of successful exchanges |
id |
FURG_736ac6c1d967bd569d644b46313cc665 |
---|---|
oai_identifier_str |
oai:repositorio.furg.br:1/4897 |
network_acronym_str |
FURG |
network_name_str |
Repositório Institucional da FURG (RI FURG) |
repository_id_str |
|
spelling |
An evolutionary spatial game-based approach for the self-regulation of social exchanges in MASAn open problem in social simulation and MAS applications is the self-regulation of social exchange processes, aiming at the achievement/maintenance of equilibrated exchanges by the agents themselves, providing the continuation of the interactions in time. This paper faces this problem through an approach based on the proposed spatial and evolutionary Game of Self-Regulation of Social Exchange Processes. The agents, adopting different social exchange strategies, which take into account both the short and long-term aspects of interactions, evolve such strategies by themselves in time, in order to maximize their respective strategy-based fitness functions. In consequence, the agents happen to perform more equilibrated and fair interactions, increasing the number of successful exchanges2015-05-22T19:40:35Z2015-05-22T19:40:35Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfMACEDO, Luis Felipe Kiesow de et al. An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS. In: ECAI 2014 - Twenty-first European Conference on Artificial Intelligence, 2014, Praga, 2014. Anais... Praga, 2014. Disponível em: <http://ebooks.iospress.nl/publication/37002>. Acesso em: 15 maio 2015.http://repositorio.furg.br/handle/1/489710.3233/978-1-61499-419-0-573engMacedo, Luís Felipe Kiesow deDimuro, Graçaliz PereiraAguiar, Marilton Sanchotene deCoelho, Helderinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FURG (RI FURG)instname:Universidade Federal do Rio Grande (FURG)instacron:FURG2015-05-22T19:40:35Zoai:repositorio.furg.br:1/4897Repositório InstitucionalPUBhttps://repositorio.furg.br/oai/request || http://200.19.254.174/oai/requestopendoar:2015-05-22T19:40:35Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)false |
dc.title.none.fl_str_mv |
An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS |
title |
An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS |
spellingShingle |
An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS Macedo, Luís Felipe Kiesow de |
title_short |
An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS |
title_full |
An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS |
title_fullStr |
An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS |
title_full_unstemmed |
An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS |
title_sort |
An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS |
author |
Macedo, Luís Felipe Kiesow de |
author_facet |
Macedo, Luís Felipe Kiesow de Dimuro, Graçaliz Pereira Aguiar, Marilton Sanchotene de Coelho, Helder |
author_role |
author |
author2 |
Dimuro, Graçaliz Pereira Aguiar, Marilton Sanchotene de Coelho, Helder |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Macedo, Luís Felipe Kiesow de Dimuro, Graçaliz Pereira Aguiar, Marilton Sanchotene de Coelho, Helder |
description |
An open problem in social simulation and MAS applications is the self-regulation of social exchange processes, aiming at the achievement/maintenance of equilibrated exchanges by the agents themselves, providing the continuation of the interactions in time. This paper faces this problem through an approach based on the proposed spatial and evolutionary Game of Self-Regulation of Social Exchange Processes. The agents, adopting different social exchange strategies, which take into account both the short and long-term aspects of interactions, evolve such strategies by themselves in time, in order to maximize their respective strategy-based fitness functions. In consequence, the agents happen to perform more equilibrated and fair interactions, increasing the number of successful exchanges |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 2015-05-22T19:40:35Z 2015-05-22T19:40:35Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
MACEDO, Luis Felipe Kiesow de et al. An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS. In: ECAI 2014 - Twenty-first European Conference on Artificial Intelligence, 2014, Praga, 2014. Anais... Praga, 2014. Disponível em: <http://ebooks.iospress.nl/publication/37002>. Acesso em: 15 maio 2015. http://repositorio.furg.br/handle/1/4897 10.3233/978-1-61499-419-0-573 |
identifier_str_mv |
MACEDO, Luis Felipe Kiesow de et al. An evolutionary spatial game-based approach for the self-regulation of social exchanges in MAS. In: ECAI 2014 - Twenty-first European Conference on Artificial Intelligence, 2014, Praga, 2014. Anais... Praga, 2014. Disponível em: <http://ebooks.iospress.nl/publication/37002>. Acesso em: 15 maio 2015. 10.3233/978-1-61499-419-0-573 |
url |
http://repositorio.furg.br/handle/1/4897 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.source.none.fl_str_mv |
reponame:Repositório Institucional da FURG (RI FURG) instname:Universidade Federal do Rio Grande (FURG) instacron:FURG |
instname_str |
Universidade Federal do Rio Grande (FURG) |
instacron_str |
FURG |
institution |
FURG |
reponame_str |
Repositório Institucional da FURG (RI FURG) |
collection |
Repositório Institucional da FURG (RI FURG) |
repository.name.fl_str_mv |
Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG) |
repository.mail.fl_str_mv |
|
_version_ |
1807384400645586944 |