Sharing opinions among different participants is a useful and common way to build a constructive argumentation in order to solve complex problems that require the confrontation of different discipline areas. In such settings, experts build different arguments in relation to their own discipline area, then share and confront them to the other experts’ opinions. In this report we present an argumentative framework ANDi based on a multi-agent approach and Bayesian networks. In this framework, the agents support the elaboration of a global diagnostic from local ones. Local diagnostics are resulting of argumentations between group of experts from the same discipline area. We illustrate the use of this argumentation framework on the domain of fault diagnosis.
