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.

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.
References in periodicals archive ?
After collecting the raw data from multiple hosts, the server processes the data using detection mechanisms - in this case statistical analysis and a rule-based expert system - to search for patterns of misuse.
Such a system acts not only to quicken the development of a rule-based expert system but also to show patterns that the analyst may have difficulty discerning.
The soft real-time constraints were in the performance of fault-detection algorithms, fault-detection rule-based expert systems, and data displays.
The second rule is called a synthesis-oriented, rule-based expert system, because in some abstract sense it is designing something.
The message from the rule-based expert system is displayed in the mid-part of the screen.
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 are giving way to models like neural networks.
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].
The unique feature about CAD/Chem is that its optimizer integrates several artificial intelligence technologies, including neural networks, rule-based expert systems, weighted fuzzy logic objective functions, and genetic search algorithms, with conventional statistical techniques.
This is in contrast to rule-based expert systems wherein new information must be incorporated throughout the set of rules that drive the system and may even require a complete restructuring of the rule system.
History will record that the artificial intelligence (AI) market has had more than its share of ups and downs, from its beginnings in the 1950s, to rule-based expert systems developed at Stanford (stanford.