A novel mechanism for multi agents to inference, negotiate, and pool information based on Bayesian networks
Victor B. Kreng, Chia-Hua Chang · Journal of Statistics and Management Systems · 2005
In this study, a novel mechanism for Multi-intelligent Agents to reflect probabilistic reasoning from field experts, negotiate among decision groups, share mutual information, and evaluate multi-decision variables to generate corresponding unique solution is proposed. The decision makers’ reasoning experience and styles can be configured by the Interior Bayesian Belief Network (BBN), pooling factors, and adaptation parameters while employing Intelligent Agents to negotiate and judge events coordinately. The negotiation mechanism is based on information theoretic measurements to automatically pool group members’ opinions and then trigger self-adaptations of agents. Exterior BBN also exhibits the dependence of group members in order to model the mutual impacts among them. Finally, an illustrative example is presented, in which the characteristics of the proposed system is clarified.