Argumentation-based negotiation approaches have been proposed to capture realistic negotiation contexts where all issues being negotiated are not fixed a priori and the negotiator?s beliefs may be influenced during the negotiation process. We have proposed a novel Bayesian network based argumentation and decision making framework that allows agents to utilize models of other agents. We discuss a decision mechanism for generating the most effective argument to convince the opponent to accept favorable contracts.