R&D

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.

Abstract

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.

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