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Type of publication:Inproceedings
Entered by:ADM
TitleCommunication Cost in Distributed Bayesian Belief Networks
Bibtex cite IDgosligamaris05:bnaic
Booktitle Proceedings of 17th Belgian-Dutch Conference on AI (BNAIC)
Year published 2005
Month October
Pages 275-282
Location 17-18 October 2005, Brussels, Belgium
Keywords bayesian networks
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.
Authors
van Gosliga, Sicco
Maris, Marinus
Topics
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