Genetic-aided multi-issue bilateral bargaining for complex utility functions

  • Authors:
  • Víctor Sánchez-Anguix;Soledad Valero;Vicente Julián;Vicente Botti;Ana García-Fornes

  • Affiliations:
  • Universidad Politécnica de Valencia, Valencia, Spain;Universidad Politécnica de Valencia, Valencia, Spain;Universidad Politécnica de Valencia, Valencia, Spain;Universidad Politécnica de Valencia, Valencia, Spain;Universidad Politécnica de Valencia, Valencia, Spain

  • Venue:
  • Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
  • Year:
  • 2010

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Abstract

In this paper, a non-mediated multi-issue bilateral bargaining model for complex utility functions is presented. Before the negotiation process, a genetic algorithm (GA) is used to sample one's own utility function. During the negotiation process, genetic operators are applied over the opponent's and one's own proposals in order to sample new proposals that are interesting for both parties.