Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.

Autores
De La Rosa, Josep Lluis; Hormazábal, Nicolás; Aciar, Silvana Vanesa; Lopardo, Gabriel Alejandro; Trias, Albert; Montaner, Miquel
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The system described herein represents the first example of a recommender system in digital ecosystems where agents negotiate services on behalf of small companies. The small companies compete not only with price or quality, but with a wider service-by-service composition by subcontracting with other companies. The final result of these offerings depends on negotiations at the scale of millions of small companies. This scale requires new platforms for supporting digital business ecosystems, as well as related services like open-id, trust management, monitors and recommenders. This is done in the Open Negotiation Environment (ONE), which is an open-source platform that allows agents, on behalf of small companies, to negotiate and use the ecosystem services, and enables the development of new agent technologies. The methods and tools of cyber engineering are necessary to build up Open Negotiation Environments that are stable, a basic condition for predictable business and reliable business environments. Aiming to build stable digital business ecosystems by means of improved collective intelligence, we introduce a model of negotiation style dynamics from the point of view of computational ecology. This model inspires an ecosystem monitor as well as a novel negotiation style recommender. The ecosystem monitor provides hints to the negotiation style recommender to achieve greater stability of an open negotiation environment in a digital business ecosystem. The greater stability provides the small companies with higher predictability, and therefore better business results. The negotiation style recommender is implemented with a simulated annealing algorithm at a constant temperature, and its impact is shown by applying it to a real case of an open negotiation environment populated by Italian companies.
Fil: De La Rosa, Josep Lluis. Universidad de Girona; España
Fil: Hormazábal, Nicolás. Universidad de Girona; España
Fil: Aciar, Silvana Vanesa. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Lopardo, Gabriel Alejandro. Universidad de Girona; España
Fil: Trias, Albert. Universidad de Girona; España
Fil: Montaner, Miquel. No especifíca;
Materia
AGENTS
RECOMMENDER SYSTEMS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/196381

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spelling Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.De La Rosa, Josep LluisHormazábal, NicolásAciar, Silvana VanesaLopardo, Gabriel AlejandroTrias, AlbertMontaner, MiquelAGENTSRECOMMENDER SYSTEMShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The system described herein represents the first example of a recommender system in digital ecosystems where agents negotiate services on behalf of small companies. The small companies compete not only with price or quality, but with a wider service-by-service composition by subcontracting with other companies. The final result of these offerings depends on negotiations at the scale of millions of small companies. This scale requires new platforms for supporting digital business ecosystems, as well as related services like open-id, trust management, monitors and recommenders. This is done in the Open Negotiation Environment (ONE), which is an open-source platform that allows agents, on behalf of small companies, to negotiate and use the ecosystem services, and enables the development of new agent technologies. The methods and tools of cyber engineering are necessary to build up Open Negotiation Environments that are stable, a basic condition for predictable business and reliable business environments. Aiming to build stable digital business ecosystems by means of improved collective intelligence, we introduce a model of negotiation style dynamics from the point of view of computational ecology. This model inspires an ecosystem monitor as well as a novel negotiation style recommender. The ecosystem monitor provides hints to the negotiation style recommender to achieve greater stability of an open negotiation environment in a digital business ecosystem. The greater stability provides the small companies with higher predictability, and therefore better business results. The negotiation style recommender is implemented with a simulated annealing algorithm at a constant temperature, and its impact is shown by applying it to a real case of an open negotiation environment populated by Italian companies.Fil: De La Rosa, Josep Lluis. Universidad de Girona; EspañaFil: Hormazábal, Nicolás. Universidad de Girona; EspañaFil: Aciar, Silvana Vanesa. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Lopardo, Gabriel Alejandro. Universidad de Girona; EspañaFil: Trias, Albert. Universidad de Girona; EspañaFil: Montaner, Miquel. No especifíca;Institute of Electrical and Electronics Engineers2011-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/196381De La Rosa, Josep Lluis; Hormazábal, Nicolás; Aciar, Silvana Vanesa; Lopardo, Gabriel Alejandro; Trias, Albert; et al.; Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.; Institute of Electrical and Electronics Engineers; Ieee Transactions On Industrial Electronics; 58; 6; 7-2011; 2073-20850278-0046CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/5175290info:eu-repo/semantics/altIdentifier/doi/10.1109/TIE.2009.2027917info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:02:16Zoai:ri.conicet.gov.ar:11336/196381instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:02:17.142CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.
title Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.
spellingShingle Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.
De La Rosa, Josep Lluis
AGENTS
RECOMMENDER SYSTEMS
title_short Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.
title_full Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.
title_fullStr Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.
title_full_unstemmed Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.
title_sort Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.
dc.creator.none.fl_str_mv De La Rosa, Josep Lluis
Hormazábal, Nicolás
Aciar, Silvana Vanesa
Lopardo, Gabriel Alejandro
Trias, Albert
Montaner, Miquel
author De La Rosa, Josep Lluis
author_facet De La Rosa, Josep Lluis
Hormazábal, Nicolás
Aciar, Silvana Vanesa
Lopardo, Gabriel Alejandro
Trias, Albert
Montaner, Miquel
author_role author
author2 Hormazábal, Nicolás
Aciar, Silvana Vanesa
Lopardo, Gabriel Alejandro
Trias, Albert
Montaner, Miquel
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv AGENTS
RECOMMENDER SYSTEMS
topic AGENTS
RECOMMENDER SYSTEMS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The system described herein represents the first example of a recommender system in digital ecosystems where agents negotiate services on behalf of small companies. The small companies compete not only with price or quality, but with a wider service-by-service composition by subcontracting with other companies. The final result of these offerings depends on negotiations at the scale of millions of small companies. This scale requires new platforms for supporting digital business ecosystems, as well as related services like open-id, trust management, monitors and recommenders. This is done in the Open Negotiation Environment (ONE), which is an open-source platform that allows agents, on behalf of small companies, to negotiate and use the ecosystem services, and enables the development of new agent technologies. The methods and tools of cyber engineering are necessary to build up Open Negotiation Environments that are stable, a basic condition for predictable business and reliable business environments. Aiming to build stable digital business ecosystems by means of improved collective intelligence, we introduce a model of negotiation style dynamics from the point of view of computational ecology. This model inspires an ecosystem monitor as well as a novel negotiation style recommender. The ecosystem monitor provides hints to the negotiation style recommender to achieve greater stability of an open negotiation environment in a digital business ecosystem. The greater stability provides the small companies with higher predictability, and therefore better business results. The negotiation style recommender is implemented with a simulated annealing algorithm at a constant temperature, and its impact is shown by applying it to a real case of an open negotiation environment populated by Italian companies.
Fil: De La Rosa, Josep Lluis. Universidad de Girona; España
Fil: Hormazábal, Nicolás. Universidad de Girona; España
Fil: Aciar, Silvana Vanesa. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Lopardo, Gabriel Alejandro. Universidad de Girona; España
Fil: Trias, Albert. Universidad de Girona; España
Fil: Montaner, Miquel. No especifíca;
description The system described herein represents the first example of a recommender system in digital ecosystems where agents negotiate services on behalf of small companies. The small companies compete not only with price or quality, but with a wider service-by-service composition by subcontracting with other companies. The final result of these offerings depends on negotiations at the scale of millions of small companies. This scale requires new platforms for supporting digital business ecosystems, as well as related services like open-id, trust management, monitors and recommenders. This is done in the Open Negotiation Environment (ONE), which is an open-source platform that allows agents, on behalf of small companies, to negotiate and use the ecosystem services, and enables the development of new agent technologies. The methods and tools of cyber engineering are necessary to build up Open Negotiation Environments that are stable, a basic condition for predictable business and reliable business environments. Aiming to build stable digital business ecosystems by means of improved collective intelligence, we introduce a model of negotiation style dynamics from the point of view of computational ecology. This model inspires an ecosystem monitor as well as a novel negotiation style recommender. The ecosystem monitor provides hints to the negotiation style recommender to achieve greater stability of an open negotiation environment in a digital business ecosystem. The greater stability provides the small companies with higher predictability, and therefore better business results. The negotiation style recommender is implemented with a simulated annealing algorithm at a constant temperature, and its impact is shown by applying it to a real case of an open negotiation environment populated by Italian companies.
publishDate 2011
dc.date.none.fl_str_mv 2011-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/196381
De La Rosa, Josep Lluis; Hormazábal, Nicolás; Aciar, Silvana Vanesa; Lopardo, Gabriel Alejandro; Trias, Albert; et al.; Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.; Institute of Electrical and Electronics Engineers; Ieee Transactions On Industrial Electronics; 58; 6; 7-2011; 2073-2085
0278-0046
CONICET Digital
CONICET
url http://hdl.handle.net/11336/196381
identifier_str_mv De La Rosa, Josep Lluis; Hormazábal, Nicolás; Aciar, Silvana Vanesa; Lopardo, Gabriel Alejandro; Trias, Albert; et al.; Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.; Institute of Electrical and Electronics Engineers; Ieee Transactions On Industrial Electronics; 58; 6; 7-2011; 2073-2085
0278-0046
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/5175290
info:eu-repo/semantics/altIdentifier/doi/10.1109/TIE.2009.2027917
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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