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Coalescing changes in pattern-directed, rule-based artificial intelligence production systems
Coalescing changes in pattern-directed, rule-based artificial intelligence production systems
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机译:结合模式导向的基于规则的人工智能生产系统中的变化
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摘要
A technique for collecting changes to working memory objects made by rule execution in an artificial intelligence production system avoids frequent use of a matching algorithm by delaying the match processing of the collected changes to a memory object until completion of an executing rule. A change to an object wrought by execution of a rule is signified in a control block for that object. Once a first change has occurred, subsequent changes caused before execution of the rule is complete will be made to the object and indicated by the change block. When execution of the rule is complete, the changes coalesced in the object itself are registered in the system by introduction of the changed object into the matching algorithm. This avoids match processing the object each time it is changed during execution of the rule.
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