the feature of an expert system that handles the processing of rules and facts to reach a conclusion, using either forward or backward chaining (path direction).
The G2 component that monitors events and reasons about changing conditions while invoking rules by means of forward chaining, backward chaining, event detection, focusing, and scanning.
The logic embodied in the software of an expert system.
A collection of rules and policies which forms SCO Doctor's intelligence.
a smart search engine that interprets the rules that describe objects in an ontology
a tool that makes logical deductions based on given information
Software that provides the reasoning mechanism in an expert system. In a rule based expert system, typically implements forward chaining and backward chaining. strategies. [| Tutorial
The components of an expert system, such as a cluster of connected processors and associated software, that apply principles of reasoning to draw conclusions from the information stored in a knowledge base.
The 'reasoning' part of a computer program which interprets knowledge and data to determine logical conclusions.
The processing portion of an expert system. With information from the knowledge-base, the inference engine provides the reasoning ability that derive inferences (conclusions) on which the expert system acts.
The logic used by expert system software to draw conclusions from stated facts and relevant rules
the mechanism used to draw conclusions based on applicable rules and data in the knowledge base; an AI system's reasoning process.
In an expert system, the use of reasoning, based on using the knowledge encoded into the system, to solve problems.
An inference engine is a computer program that tries to derive answers from a knowledge base. It is the "brain" that expert systems use to reason about the information in the knowledge base, for the ultimate purpose of formulating new conclusions.