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dc.contributor.author
De La Rosa, Josep Lluis
dc.contributor.author
Hormazábal, Nicolás
dc.contributor.author
Aciar, Silvana Vanesa
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dc.contributor.author
Lopardo, Gabriel Alejandro
dc.contributor.author
Trias, Albert
dc.contributor.author
Montaner, Miquel
dc.date.available
2023-05-05T11:00:11Z
dc.date.issued
2011-07
dc.identifier.citation
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
dc.identifier.issn
0278-0046
dc.identifier.uri
http://hdl.handle.net/11336/196381
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
AGENTS
dc.subject
RECOMMENDER SYSTEMS
dc.subject.classification
Ciencias de la Computación
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dc.subject.classification
Ciencias de la Computación e Información
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-04-04T12:12:35Z
dc.journal.volume
58
dc.journal.number
6
dc.journal.pagination
2073-2085
dc.journal.pais
Estados Unidos
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dc.description.fil
Fil: De La Rosa, Josep Lluis. Universidad de Girona; España
dc.description.fil
Fil: Hormazábal, Nicolás. Universidad de Girona; España
dc.description.fil
Fil: Aciar, Silvana Vanesa. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
dc.description.fil
Fil: Lopardo, Gabriel Alejandro. Universidad de Girona; España
dc.description.fil
Fil: Trias, Albert. Universidad de Girona; España
dc.description.fil
Fil: Montaner, Miquel. No especifíca;
dc.journal.title
Ieee Transactions On Industrial Electronics
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/5175290
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TIE.2009.2027917
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