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Normally, the term rule-based system is applied to systems involving human-crafted or curated rule sets. Rule-based systems constructed using automatic rule inference, such as rule-based machine learning, are normally excluded from this system type.
A classic example of a rule-based system is the domain-specific expert system that uses rules to make deductions or choices. For example, an expert system might help a doctor choose the correct diagnosis based on a cluster of symptoms, or select tactical moves to play a game.
Rule-based programming attempts to derive execution instructions from a starting set of data and rules. This is a more indirect method than that employed by an imperative programming language, which lists execution steps sequentially.
A typical rule-based system has four basic components:
- A list of rules or rule base, which is a specific type of knowledge base.
- An inference engine or semantic reasoner, which infers information or takes action based on the interaction of input and the rule base. The interpreter executes a production system program by performing the following match-resolve-act cycle:
- Match: In this first phase, the left-hand sides of all productions are matched against the contents of working memory. As a result a conflict set is obtained, which consists of instantiations of all satisfied productions. An instantiation of a production is an ordered list of working memory elements that satisfies the left-hand side of the production.
- Conflict-Resolution: In this second phase, one of the production instantiations in the conflict set is chosen for execution. If no productions are satisfied, the interpreter halts.
- Act: In this third phase, the actions of the production selected in the conflict-resolution phase are executed. These actions may change the contents of working memory. At the end of this phase, execution returns to the first phase.
- Temporary working memory.
- A user interface or other connection to the outside world through which input and output signals are received and sent.
- Rule-based programming
- Expert systems
- TK Solver
- List of rule-based languages
- Learning classifier system
- Rule-based machine learning
- Rule-based modeling
- "What is a rule-based system?". j-paine.org.
- Cabitza, F., & Dal Seno, B. (2005). "DJess-A Knowledge-Sharing Middleware to Deploy Distributed Inference Systems". International Journal of Computer and Information Engineering. 2: 66–69. doi:10.1109/PERSER.2005.1506416.CS1 maint: multiple names: authors list (link)