Probabilistic reasoning in Bayesian networks: a relational database approach

Authors:
S. K. Michael Wong;Dan Wu;Cory J. Butz
Affiliations:
Department of Computer Science, University of Regina, Regina Saskatchewan, Canada;Department of Computer Science, University of Regina, Regina Saskatchewan, Canada;Department of Computer Science, University of Regina, Regina Saskatchewan, Canada
Venue:
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Year:
2003

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Abstract

Probabilistic reasoning in Bayesian networks is normally conducted on a junction tree by repeatedly applying the local propagation whenever new evidence is observed. In this paper, we suggest to treat probabilistic reasoning as database queries. We adapt a method for answering queries in database theory to the setting of probabilistic reasoning in Bayesian networks. We show an effective method for probabilistic reasoning without repeated application of local propagation whenever evidence is observed.