From Certainty Factors to Belief Networks

Reference: Heckerman, D. E. & Shortliffe, E. H. From Certainty Factors to Belief Networks. 1992.

Abstract: The certainty factor (CF) model is a commonly used method for managing uncertainty in rule-based systems. We review the history and mechanics of the CF model, and delineate precisely its theoretical and practical limitations. In addition, we examine the belief network, a representation that is similar to the CF model but that is grounded firmly in probablility theory. We show that the belief-network representation overcomes many of the limitatons of the CF model, and provides a promising approach to the practical construction of expert systems.

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