Abstract: In this paper, two different methods for information fusion are compared with respect to communication cost. These are the lambda-pi and the junction-tree approach as the probability computing methods in Bayesian networks. The analysis is done within the scope of large distributed networks of computing nodes. The result of this comparison enables us to make astatement about the most appropriate method for reasoning in distributed Bayesian networks. Each node in the network is considered an intelligent agent in a multi-agentsystem.