Improving the efficiency of rule-based expert systems by rule activation

Louis Sanzogni, Francis Suraweera, Geoffrey I. Webb

Research output: Contribution to journalArticleResearchpeer-review


In this paper we test a hypothesis that has shown promise in enhancing the efficiency (run-time) of rule-based systems. The results of our experiments suggest that the use of rule activation plays an active part in improving the performance of rule bases containing conflict sets.

Original languageEnglish
Pages (from-to)369-380
Number of pages12
JournalJournal of Experimental and Theoretical Artificial Intelligence
Issue number4
Publication statusPublished - 1 Jan 1990
Externally publishedYes


  • Activation levels
  • Expert systems
  • Hypothesis testing
  • Production systems
  • Rule activation
  • Rule-based systems
  • Run-time efficiency

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