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Rule Engine Features*
Naturally models business rules as asserted facts and rules
Excellent for decision support & constraint based optimization
Easy to modify or adjust by semi-technical business people
Based on standards such as RuleML** and the Prolog logic language
Integrated with Java through custom sensors and effectors
Uses the Entity Engine to expand your knowledge base to include all the data in your database, in addition to the normal asserted facts
Forward chained rulesets can be invoked with the Service Engine
Backward chained rulesets can be treated as entities in the Entity Engine
Original implementation from Building Parsers with Java by Steven John Metsker (Addison Wesley) - has great info on logic and other engines