Hierarchical clustering and linguistic mediation rules for multiagent negotiation
Enrique de la Hoz, Miguel A. López-Carmona, Mark H. Klein, Iván Marsá-Maestre · Adaptive Agents and Multi-Agents Systems · 2012
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.