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While certain CGSs, e.g., SpEM [ 20], rely on production rules [ 21], alternative approaches exist that may be more appropriate on occasion.
Where uncertainty is high, heuristic production rules provide reasonable behavior.
Rules of this type are called production rules.
An alternative approach is to provide automatic "repair" of inconsistent states using production rules.
The tree structure captures the order the production rules are applied.
We propose incorporating a production rules facility into a relational database system.
Rog-O-Matic is a combination of algorithmic knowledge sources and production rules.
Knowledge sources and production rules interact through a world model or "blackboard".
Interactions between these objects are expressed using production rules and an underlying truth maintenance system.
Because the system is implemented in an imperative language, the production rules are statically ordered.
The production rules are generated and upgraded by interviewing field engineers.
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