rule-based expert system


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rule-based expert system

[¦rül ¦bāst ′ek‚spərt ‚sis·təm]
(computer science)
An expert system based on a collection of rules that a human expert would follow in dealing with a problem.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.

rule-based expert system

An expert system based on a set of rules that a human expert would follow in diagnosing a problem. Contrast with model-based expert system.
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References in periodicals archive ?
The rule-based expert system, as noted, looks for activity that mirrors modeled misuse scenarios.
Rule-based expert systems are perhaps the most common form of expert systems.
If you ever bagged groceries when you were a kid, you were behaving as though you were a rule-based expert system. In fact, I introduce the idea of rule-based expert systems to my class at MIT through a computer program called Bagger.
These limits are stored in a database for alloys and are used in the condition part of the rule-based expert system. By gradually adjusting the limits, the system will improve its ability to recognize conditions that identify risks for casting defects.
If task automation or a rule-based expert system is to combine several different pieces of sampled information and make a decision based on them, then the time relationship of these samples must be known.
A huge innovation in data science over the past five years has been the ascendance of neural network models, rebranded as deep learning models, over symbolic, rule-based expert systems. There's a lot of hype and headline around this stuff just now: DeepMind beating Lee Sedol at Go, as well as the use of neural networks to solve important fundamental AI tasks such as image recognition, which is fueling innovations with self-driving cars and medical diagnostics.
These rule-based expert systems automatically and transparently migrate files between various layers in the hierarchy.
Rule-based expert systems now are able to do the same thing for casualty claims.
They include "CBR can prove successful where database systems or rule-based expert systems have failed" and "It is useful to have existing cases upon which to build a CBR system, but cases can be acquired through knowledge engineering or by a system during use." This final chapter is an excellent summary of all the cases presented and offers an expert analysis of what they can teach us.
ADP CSG and its Bethesda, Md.-based strategic business unit, ADP Integrated Medical Solutions (IMS), provide insurers with a combination of rule-based expert systems and predictive programs to help them better manage both the medical and property aspects of claims and assist them in the claim settlement process.
Rule-based expert systems. The rule base of an expert system contains a set of production rules.
However, such rule-based expert systems become unwieldy when the knowledge base increases in size, and when changes are required to a knowledge base that are more subtle than simple updates[17-18].