inference engine


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inference engine

A program that infers new facts from known facts using inference rules. Commonly found as part of a Prolog interpreter, expert system or knowledge based system.

inference engine

The processing program in an expert system. It derives a conclusion from the facts and rules contained in the knowledge base using various artificial intelligence techniques.
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The inference engine includes the input variables and output variables for the two parts of the rule base system and the organizational life cycle and the industry life cycle were designed separately and were named OLC and ILC, respectively.
Therefore, the inference engine automatically decreases the number of alarm messages and groups alarm messages about the same incident together so that they are easier to handle by the PDR supervisor.
The inference engine combines the rules from the knowledge-base and the facts from the database for producing its output.
It includes four components: rules, fuzzifier, fuzzylogic inference engine and defuzzifier.
C) From the client side, the procedure is similar as those described above, except that the inference engine only interacts with the partial individual student model.
Expert systems generally interact with the end-user by asking a series of questions which the inference engine then uses to search the knowledge base that can lead to a conclusion.
Because the neural network, at the outset, may not define all input conditions or output results, it can not make use of an inference engine that requires a predefined pattern of events.
Taking Syscon's version of temperature control as an example, the fuzzy inference engine would break the problem down into three steps, which are combined graphically in the figure above.
inference engine, he adds; the solutions it provides are "much
These components are: Inference Engine, Knowledge Acquisition Subsystem, Knowledge Base Subsystem, Explanation Subsystem, User Interface, and Uncertainty Handling Subsystem.
An ESM has four key components: a knowledge base, an inference engine, a justifier, and a user interface (Figure 2).
An expert system has three main components: (1) the knowledge base, (2) the inference engine, and (3) the user interface.