Constructing Situation Specific Networks
Citation: Mahoney, S.M. and K.B. Laskey, "Constructing Situation Specific Networks", Uncertainty in Artificial Intelligence: Proceedings of the Fourteenth Conference
, Cooper, G. and Moral, S. eds., San Francisco, CA: Morgan Kaufmann, 1998.
This paper describes a process for constructing situation-specific belief networks from a knowledge base of network fragments. A situation-specific network is a minimal query-complete network constructed from a knowledge base in response to a query for the probability distribution on a set of target variables given evidence and context variables. We present definitions of query completeness and situation-specific networks. We describe conditions on the knowledge base that guarantee query completeness. The relationship of our work to earlier work on KBMC is also discussed.
For more information, contact IET