Inference engine
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An inference engine tries to derive answers from a knowledge base. It is the brain of the expert systems that provides a methodology for reasoning about the information in the knowledge base, and for formulating conclusions.
An inference engine has three main elements. They are:
1. An interpreter. The interpreter executes the chosen agenda items by applying the corresponding base rules.
2. A scheduler. The scheduler maintains control over the agenda by estimating the effects of applying inference rules in light of item priorities or other criteria on the agenda.
3. A consistency enforcer. The consistency enforcer attempts to maintain a consistent representation of the emerging solution.
External links
- SIE (http://homepage.ntlworld.com/peterhi/sie.html) (written in Ruby)
- Structural Modeling, Inference, and Learning Engine (http://www2.sis.pitt.edu/~genie/)
- AI Directory (http://www.dmoz.org/Computers/Artificial_Intelligence)