Hierarchical Clustering and Linguistic Mediation Rules for Multiagent Negotiation
Fecha de publicación
2012-06-04Cita bibliográfica
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, 2012, vol. 3, pp. 1259-1260
Descripción
Eleventh International Conference on Autonomous Agents and Multiagent Systems AAMAS 2012, , 04/06/2012-08/06/2012, Valencia, España
Tipo de documento
info:eu-repo/semantics/conferenceObject
Versión
info:eu-repo/semantics/acceptedVersion
Derechos
International Foundation for Autonomous Agents and Multiagent Systems
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Derechos de acceso
info:eu-repo/semantics/openAccess
Resumen
We propose a framework based on Hierarchical Clustering (HC) to perform multiagent negotiations where we can specify the type of agreements needed in terms of utility sharing among the agents.The proposed multi-round mediation process is based on the analysis of the agents" offers at each negotiation round and the generation of a social contract at each round as a feedback to the agents, which explore the negotiation space to generate new offers. This mechanism efficiently manages negotiations following predefined consensus policies avoiding zones of no agreement
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Hierarchical_clustering_AAMAS_ ... | 495.7Kb |
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