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ELIMINATING RULES WITH IMPOSSIBLE PRE-CONDITIONS

At this point, rules that have preconditions which cannot be filled can be eliminated. This is an example of the soundness, or ``need-based'' processing that underlies this approach. Whenever a rule has a precondition that cannot be achieved, the rule is failed. This not only occurs before the modified recursive descent algorithm begins, as in this case, but while the descent algorithm is operated. Every time a rule is failed, for whatever reason, it is checked to see whether any other rule which depended on one of its constraints no longer can have one or more of its preconditions fulfilledgif. If it can't, then that rule is also failed (and the effects of failing that rule are also checked).

eliminating rule 0 in CLAUSE_28
eliminating rule 0 in RELATION_20
eliminating rule 0 in %RECONCILE_1
eliminating rule 0 in %RECONCILE_1
  rule 0 in %RECONCILE_1 already failed
eliminating rule 1 in CLAUSE_31
eliminating rule 0 in CLAUSE_31



Steve Beale
Tue Oct 1 12:13:07 MDT 1996