A multi-agent system for electronic commerce including adaptive strategic behaviours

Detalhes bibliográficos
Autor(a) principal: Eugénio Oliveira
Data de Publicação: 1999
Outros Autores: Henrique Lopes Cardoso, Max Schaefer
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://repositorio-aberto.up.pt/handle/10216/74300
Resumo: This work is primarily based on the use of software agents forautomated negotiation. We present in this paper a test-bed for agents in anelectronic marketplace, through which we simulated different scenariosallowing us to evaluate different agents negotiation behaviours. The systemfollows a multi-party and multi-issue negotiation approach. We tested thesystem by comparing the performance of agents that use multiple tactics withones that include learning capabilities based on a specific kind ofReinforcement Learning technique. First experiments showed that the adaptiveagents tend to win deals over their competitors as their experience increases.
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spelling A multi-agent system for electronic commerce including adaptive strategic behavioursInformática, Ciências da computação e da informaçãoInformatics, Computer and information sciencesThis work is primarily based on the use of software agents forautomated negotiation. We present in this paper a test-bed for agents in anelectronic marketplace, through which we simulated different scenariosallowing us to evaluate different agents negotiation behaviours. The systemfollows a multi-party and multi-issue negotiation approach. We tested thesystem by comparing the performance of agents that use multiple tactics withones that include learning capabilities based on a specific kind ofReinforcement Learning technique. First experiments showed that the adaptiveagents tend to win deals over their competitors as their experience increases.19991999-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/74300eng10.1007/3-540-48159-1_18Eugénio OliveiraHenrique Lopes CardosoMax Schaeferinfo: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:RCAAP2023-11-29T12:25:53Zoai:repositorio-aberto.up.pt:10216/74300Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:20:13.496050Repositório 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 multi-agent system for electronic commerce including adaptive strategic behaviours
title A multi-agent system for electronic commerce including adaptive strategic behaviours
spellingShingle A multi-agent system for electronic commerce including adaptive strategic behaviours
Eugénio Oliveira
Informática, Ciências da computação e da informação
Informatics, Computer and information sciences
title_short A multi-agent system for electronic commerce including adaptive strategic behaviours
title_full A multi-agent system for electronic commerce including adaptive strategic behaviours
title_fullStr A multi-agent system for electronic commerce including adaptive strategic behaviours
title_full_unstemmed A multi-agent system for electronic commerce including adaptive strategic behaviours
title_sort A multi-agent system for electronic commerce including adaptive strategic behaviours
author Eugénio Oliveira
author_facet Eugénio Oliveira
Henrique Lopes Cardoso
Max Schaefer
author_role author
author2 Henrique Lopes Cardoso
Max Schaefer
author2_role author
author
dc.contributor.author.fl_str_mv Eugénio Oliveira
Henrique Lopes Cardoso
Max Schaefer
dc.subject.por.fl_str_mv Informática, Ciências da computação e da informação
Informatics, Computer and information sciences
topic Informática, Ciências da computação e da informação
Informatics, Computer and information sciences
description This work is primarily based on the use of software agents forautomated negotiation. We present in this paper a test-bed for agents in anelectronic marketplace, through which we simulated different scenariosallowing us to evaluate different agents negotiation behaviours. The systemfollows a multi-party and multi-issue negotiation approach. We tested thesystem by comparing the performance of agents that use multiple tactics withones that include learning capabilities based on a specific kind ofReinforcement Learning technique. First experiments showed that the adaptiveagents tend to win deals over their competitors as their experience increases.
publishDate 1999
dc.date.none.fl_str_mv 1999
1999-01-01T00:00:00Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/book
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio-aberto.up.pt/handle/10216/74300
url https://repositorio-aberto.up.pt/handle/10216/74300
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1007/3-540-48159-1_18
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 Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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