A Negotiation Styles Recommenders Approach Based on Computational Ecology

Authors:
Josep Lluis de la Rosa;Gabriel Lopardo;Nicolás Hormazábal;Miquel Montaner
Affiliations:
{peplluis, glopardo, nicolash}@eia.udg.edu, miquel@isac.cat, Agents Research Lab-EASY Innova, Universitat de Girona (UdG) & Strategic Attention Management (SAM), E17071 Girona (Catalonia);{peplluis, glopardo, nicolash}@eia.udg.edu, miquel@isac.cat, Agents Research Lab-EASY Innova, Universitat de Girona (UdG) & Strategic Attention Management (SAM), E17071 Girona (Catalonia);{peplluis, glopardo, nicolash}@eia.udg.edu, miquel@isac.cat, Agents Research Lab-EASY Innova, Universitat de Girona (UdG) & Strategic Attention Management (SAM), E17071 Girona (Catalonia);{peplluis, glopardo, nicolash}@eia.udg.edu, miquel@isac.cat, Agents Research Lab-EASY Innova, Universitat de Girona (UdG) & Strategic Attention Management (SAM), E17071 Girona (Catalonia)
Venue:
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Year:
2008

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Abstract

This paper introduces a model of negotiation dynamics from the point of view of computational ecology. It inspires an ecosystem monitor, as well as a negotiation style recommender that is novel in state-of-the-art of recommender systems. The ecosystem monitor provides hints to the negotiation style recommender to achieve a higher stability of any instance of open negotiation environments in a digital business ecosystem.