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A Negotiation Style Recommender Based on Computational Ecology in Open Negotiation Environments

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

© IEEE Transactions on Industrial Electronics, 2009, vol. PP, p. 1-1

IEEE

Autor: Rosa, Josep Lluís de la
Hormazábal Llona, Nicolás
Aciar, Silvana Vanesa
Lopardo, Gabriel Alejandro
Trias Mansilla, Albert
Montaner Rigall, Miquel
Data: 2009
Resum: 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
Format: application/pdf
Cita: Rosa, J. L. de la, Hormazábal Llona, N., Aciar, S. V., Lopardo, G.A., Trias Mansilla, A., i Montaner, M. (2009). A Negotiation Style Recommender Based on Computational Ecology in Open Negotiation Environments. IEEE Transactions on Industrial Electronics, 99, 1-13. Recuperat 08 juny 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5175290
ISSN: 0278-0046
Accés al document: http://hdl.handle.net/10256/2556
Llenguatge: eng
Editor: IEEE
Col·lecció: Reproducció digital del document publicat a: http://dx.doi.org/10.1109/TIE.2009.2027917
Articles publicats (D-EEEiA)
És part de: © IEEE Transactions on Industrial Electronics, 2009, vol. PP, p. 1-1
Drets: Tots els drets reservats
Matèria: Agents intel·ligents (Programari)
Intel·ligència artificial -- Informàtica
Sistemes d’ajuda a la decisió
Artificial intelligence -- Data processing
Intelligent agents (Computer software)
Decision support systems
Títol: A Negotiation Style Recommender Based on Computational Ecology in Open Negotiation Environments
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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