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Communication cost in Distributed Bayesian Belief Networks

Communication cost in Distributed Bayesian Belief Networks,Sicco Pier Van Gosliga,Marinus Maris

Communication cost in Distributed Bayesian Belief Networks  
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In this paper, two different methods for information fu- sion 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 a statement about the most appropri- ate method for reasoning in distributed Bayesian networks. Each node in the network is considered an intelligent agent in a multi-agent system.
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