1. The inference engine is generic, and it handles the logistics of a consultation.

2. This, under the control of the inference engine, forms the system nucleus.

3. Each combination of the inference engine with a knowledge base becomes a unique expert system.

4. The rules/inference engine is the part of the system that evaluates the rules based on the system state or user input.

5. A complex inference engine for generating operation-item and a developing model for software workflow based finite automaton were used in the system.

6. Second, the inference engine or engines help fill in any class structure and language gaps.

7. The system is a rule-based production system. Inference engine is the core part of expert system. We use forward chaining and backward chaining at the same time.

8. A forward and backward chaining inference engine suitable for this problem is derived and discussed.

9. Additionally, you've seen how Jena's inference engine can be used to make inferences about a model based on an ontology.

10. In the realization of the inference engine, the forward inference control strategy and the deep-prior search strategy are preferred.

11. The inference engine combines both object-oriented method and Blackboard model. It makes the knowledge base layered and modularized( ), and greatly raises the infer efficiency.

12. How to choose between the Flow and the Inference Engine?

13. I'll also cover the rules/inference engine and the role it plays, then wind up this section with a quick discussion on workflow and conflict resolution.

14. In the inference engine section, target-drive control, depth-first search and breadth-first search are adopted.

15. The inference engine was composed of forward chaining and backward chaining.

16. Typically, an inference engine infers several intermediate facts while progressing toward the final goal.

17. Take a look at the structure of the rules/inference engine.

18. Given an ontology and a model, Jena's inference engine can derive additional statements that the model doesn't express explicitly.

19. SKY has three inference engines: object inference engine. rule set inference engine and method inference engine.

20. Traditional inference engine has some problems such as inference inefficient and conflict dispel.

21. This new inference engine consists of forward neural network inference model and backward logical inference mcdel.

22. The system includes a general inference engine and a set of track and explanation mechanism, which guarantee the inferring process visible and the inferred conclusion convincible.

23. The inference engine is an object which performs the inference operation of object_ framework knowledge using forward chaining strategy.

24. Typically an expert system consists of a piece of software called an inference engine and another piece called a knowledge base.

25. Once those steps are completed, an in-house business rules inference engine calculates the loan risk.

26. The components of the software model include a dynamic generator, a dynamic allocator and an inference engine.

27. The rules are stored in the production memory and the facts that the inference engine matches against the working memory.

28. In the system, the method of knowledge representation is genetic rule, inference engine combines uncertain inference and rule inference.

29. An expert system( ES ) whose knowledge base and inference engine were separated was developed. Examples of ES in injection mold structural design were given.