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Causal Network Models in Expert Systems
Abstract:The paper describes causal network models, giving a detailed discussion of their basic assumptions and their associated algorithms for marginalization and updating. Conditional probability tables are shown to be the basis for the aggregation formulas of if‐then rules allowing for deriving the uncertainty of conclusions from that of premises. Examples of a pressure tank and a power system are used for illustrating the concepts and all steps of explained algorithms.
Causal Network Models in Expert Systems
Abstract:The paper describes causal network models, giving a detailed discussion of their basic assumptions and their associated algorithms for marginalization and updating. Conditional probability tables are shown to be the basis for the aggregation formulas of if‐then rules allowing for deriving the uncertainty of conclusions from that of premises. Examples of a pressure tank and a power system are used for illustrating the concepts and all steps of explained algorithms.
Causal Network Models in Expert Systems
Computer aided Civil Eng
Castillo, E. (author) / Cobo, A. (author) / Gutiérrez, J. M. (author) / Iglesias, A. (author) / Sagástegui, H. (author)
Computer-Aided Civil and Infrastructure Engineering ; 9 ; 315-328
1994-09-01
Article (Journal)
Electronic Resource
English
Causal Network Models in Expert Systems
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