Rule-based system

Rule-Based Systems and Identification Trees
Rule-Based systems are proven AI methods whose capabilities should not be overlooked.

Rule-based systems can be used to perform lexical analysis to compile or interpret computer programs, or in natural language processing.

Rule-based systems
Representing knowledge through a KBS can be handled using two kind of programming approach: Procedural and Declarative.

Rule-based System
An expert system based on IF-THEN rules for representing knowledge.
S ...

Rule-based systems.
Frames with Default Assignments.
Predicate Calculus.
Procedural Representations.
Associative data bases.
Procedural representations.
Semantic Networks.
Object Oriented Programming.
Conceptual Dependency.
Action Scripts.

Uncertainty in Rule-Based Systems. See Chs 10-13 of the book on experiments with the Mycin system.

- New demonstration rule-based system, MEDIA ADVISOR
- New section on genetic algorithms
- Four new case studies ...

antecedent (premise) part of the rules in a rule-based system is searched
against the dynamic response of the plant parameters. The rule whose
antecedent part matches with the plant response is selected and fired. When ...

Conclusion
We have seen how rule-based systems dealing with uncertainty result in a different inferential topology to standard production rule systems. Instead of step-wise inference we get either smooth slopes or curves.

Fuzzy Set Approaches Rule-based systems for classification have the disadvantage that they involve sharp cutoffs for continuous attributes.

Prediction ...

production system a forward-chaining rule-based system, in which the contents of a working memory is compared to a set of rules, rules whose preconditions are satisfied are identified, and one or more rules is selected to be fired or executed.

This may not apply to neural networks since they are not `rule-based systems'.
Attempts to build self-organizing networks have met with some success.
These use a `competitive' process to set up the network connections.

But Gelernter points out that in some ways this is the advantage of testing the idea with medical diagnosis. Rule-based systems that carry out this task have been around for years, ...

Cyc is the brainchild of Douglas Lenat, with significant assistance from R.V. Guha, who conceived back in 1984 of the idea of encapsulating all of human knowledge in a rule-based system.

See also: Artificial intelligence, Knowledge, AI, Expert system, Demon