Communication cost in Distributed Bayesian Belief Networks
conference paper
In this paper, two different methods for information fusionare 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 a statement about the most appropriate method for reasoning in distributed Bayesian networks. Each node in the network is considered an intelligent agent in a multi-agent system.
TNO Identifier
223880
Source title
17th Belgium-Netherlands Conference on Artificial Intelligence, BNAIC 2005, Brussels, Belgium, 17-18 October 2005
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