GAVEL: a sanction-based regulation mechanism for normative multiagent systems

Detalhes bibliográficos
Ano de defesa: 2019
Autor(a) principal: Lima, Igor Conrado Alves de
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-06072020-170444/
Resumo: The use of a normative approach to govern multiagent systems (MAS) has been motivated by the increasing interest in balancing between agents\' autonomy and global system control. In normative multiagent systems (NMAS), despite the existence of norms specifying rules about how agents ought or ought not to behave, agents have the autonomy to decide whether or not to act in compliance with such norms. A suitable way to govern agents is using sanction-based enforcement mechanisms. These mechanisms allow agents autonomy while maintaining a certain system control level through sanction applications. However, most enforcement mechanisms found in the literature lack support for the association of norm compliance or violation to different sanction categories and strength, thus refraining agents from sanction reasoning and decision capabilities. An exception is the model proposed by Nardin et al. (2016). Based on this latter model, this thesis presents an operational sanctioning enforcement framework, named GAVEL, which endows agents with the capability to decide for the most appropriate sanctions to apply, depending on their context assessed by a set of decision factors. The advantages of applying different sanctions categories and strength are illustrated by a case study from the domain of economics, namely the public goods game (PGG). The experimental results show that allowing agents to decide between material and social sanctions leads to similar cooperation rates but greater wealth levels in comparison to solely using material sanction.
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spelling GAVEL: a sanction-based regulation mechanism for normative multiagent systemsGAVEL: um mecanismo de regulação baseado em sanções para sistemas multiagentes normativosEngenharia de softwareNormative multiagent systemsRegulaçãoRegulationSançãoSanctionSistemas multiagentes normativosSoftware engineeringThe use of a normative approach to govern multiagent systems (MAS) has been motivated by the increasing interest in balancing between agents\' autonomy and global system control. In normative multiagent systems (NMAS), despite the existence of norms specifying rules about how agents ought or ought not to behave, agents have the autonomy to decide whether or not to act in compliance with such norms. A suitable way to govern agents is using sanction-based enforcement mechanisms. These mechanisms allow agents autonomy while maintaining a certain system control level through sanction applications. However, most enforcement mechanisms found in the literature lack support for the association of norm compliance or violation to different sanction categories and strength, thus refraining agents from sanction reasoning and decision capabilities. An exception is the model proposed by Nardin et al. (2016). Based on this latter model, this thesis presents an operational sanctioning enforcement framework, named GAVEL, which endows agents with the capability to decide for the most appropriate sanctions to apply, depending on their context assessed by a set of decision factors. The advantages of applying different sanctions categories and strength are illustrated by a case study from the domain of economics, namely the public goods game (PGG). The experimental results show that allowing agents to decide between material and social sanctions leads to similar cooperation rates but greater wealth levels in comparison to solely using material sanction.O uso de uma abordagem normativa para governar sistemas multiagentes (MAS) tem sido motivada pelo interesse crescente em balancear autonomia de agentes e controle sistêmico. Em sistemas multiagentes normativos (NMAS), apesar da existência de normas especificiando regras sobre como agentes devem ou não devem se comportar, agentes têm autonomia para decidir se irão agir ou não de acordo com as normas. Uma maneira apropriada de governar agentes é utilizando mecanismos de regulação baseado em sanções. Tais mecanismos permitem a autonomia dos agentes enquanto mantêm um certo nível de controle do sistema através da aplicação de sanções. No entanto, a maioria dos mecanismos de regulação encontrados na literatura não provêem suporte para associação de diferentes categorias e valores de sanções ao cumprimento e violação de normas, portanto abstendo agentes da capacidade de raciocinar e decidir sobre sanções. Uma exceção é o modelo proposto por Nardin et al. (2016). Baseado neste último, esta dissertação apresenta um arcabouço operacional de aplicação de sanções, denominado GAVEL, que habilita agentes a decidir por sanções mais apropriadas a serem aplicadas com base em fatores contextuais de decisão. As vantagens de aplicação de diferentes categorias e magnitude de sanções são ilustradas por um estudo de caso do domínio da economia, nomeadamente o jogo dos bens públicos (PGG). Os resultados experimentais mostram que possibilitar agentes decidirem entre sanções materiais e sociais leva a taxas de cooperação similares mas maiores níveis de riqueza em comparação com o uso exclusivo de sanção material.Biblioteca Digitais de Teses e Dissertações da USPNardin, Luis GustavoSichman, Jaime SimãoLima, Igor Conrado Alves de2019-11-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://www.teses.usp.br/teses/disponiveis/45/45134/tde-06072020-170444/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2020-07-09T02:20:02Zoai:teses.usp.br:tde-06072020-170444Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212020-07-09T02:20:02Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv GAVEL: a sanction-based regulation mechanism for normative multiagent systems
GAVEL: um mecanismo de regulação baseado em sanções para sistemas multiagentes normativos
title GAVEL: a sanction-based regulation mechanism for normative multiagent systems
spellingShingle GAVEL: a sanction-based regulation mechanism for normative multiagent systems
Lima, Igor Conrado Alves de
Engenharia de software
Normative multiagent systems
Regulação
Regulation
Sanção
Sanction
Sistemas multiagentes normativos
Software engineering
title_short GAVEL: a sanction-based regulation mechanism for normative multiagent systems
title_full GAVEL: a sanction-based regulation mechanism for normative multiagent systems
title_fullStr GAVEL: a sanction-based regulation mechanism for normative multiagent systems
title_full_unstemmed GAVEL: a sanction-based regulation mechanism for normative multiagent systems
title_sort GAVEL: a sanction-based regulation mechanism for normative multiagent systems
author Lima, Igor Conrado Alves de
author_facet Lima, Igor Conrado Alves de
author_role author
dc.contributor.none.fl_str_mv Nardin, Luis Gustavo
Sichman, Jaime Simão
dc.contributor.author.fl_str_mv Lima, Igor Conrado Alves de
dc.subject.por.fl_str_mv Engenharia de software
Normative multiagent systems
Regulação
Regulation
Sanção
Sanction
Sistemas multiagentes normativos
Software engineering
topic Engenharia de software
Normative multiagent systems
Regulação
Regulation
Sanção
Sanction
Sistemas multiagentes normativos
Software engineering
description The use of a normative approach to govern multiagent systems (MAS) has been motivated by the increasing interest in balancing between agents\' autonomy and global system control. In normative multiagent systems (NMAS), despite the existence of norms specifying rules about how agents ought or ought not to behave, agents have the autonomy to decide whether or not to act in compliance with such norms. A suitable way to govern agents is using sanction-based enforcement mechanisms. These mechanisms allow agents autonomy while maintaining a certain system control level through sanction applications. However, most enforcement mechanisms found in the literature lack support for the association of norm compliance or violation to different sanction categories and strength, thus refraining agents from sanction reasoning and decision capabilities. An exception is the model proposed by Nardin et al. (2016). Based on this latter model, this thesis presents an operational sanctioning enforcement framework, named GAVEL, which endows agents with the capability to decide for the most appropriate sanctions to apply, depending on their context assessed by a set of decision factors. The advantages of applying different sanctions categories and strength are illustrated by a case study from the domain of economics, namely the public goods game (PGG). The experimental results show that allowing agents to decide between material and social sanctions leads to similar cooperation rates but greater wealth levels in comparison to solely using material sanction.
publishDate 2019
dc.date.none.fl_str_mv 2019-11-06
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.teses.usp.br/teses/disponiveis/45/45134/tde-06072020-170444/
url https://www.teses.usp.br/teses/disponiveis/45/45134/tde-06072020-170444/
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv
dc.rights.driver.fl_str_mv Liberar o conteúdo para acesso público.
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Liberar o conteúdo para acesso público.
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv
dc.publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
dc.source.none.fl_str_mv
reponame:Biblioteca Digital de Teses e Dissertações da USP
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Biblioteca Digital de Teses e Dissertações da USP
collection Biblioteca Digital de Teses e Dissertações da USP
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)
repository.mail.fl_str_mv virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br
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