A bayes net approach to argumentation

  • Authors:
  • Sabyasachi Saha;Sandip Sen

  • Affiliations:
  • Department of Mathematical & Computer Sciences, The University of Tulsa;Department of Mathematical & Computer Sciences, The University of Tulsa

  • Venue:
  • AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

Argumentation-based negotiation approaches have been proposed to present realistic negotiation contexts. This paper presents a novel Bayesian network based argumentation and decision making framework that allows agents to utilize models of other agents. Our goal is to use Bayesian networks to capture the opponent model through an incremental learning process and use the model to generate more effective arguments to convince the opponent to accept favorable contracts.