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CLIPS compatible application which allows a high performance execution
HyperCLIPS was designed for high performance,
especially with the CLIPS program which have a great deal of numeric calculation or memory allocation,
along with keeping almost full compatibility with the original version of CLIPS.
You can use HyperCLIPS to run CLIPS programs with no modification.
The original version of CLIPS Rule Based Programming Language is available from here.
https://sourceforge.net/p/clipsrules/
The misclns4.tst is a good example for it because
HyperCLIPS performs 200% - 400% faster than the original version of CLIPS.
The CLIPS test suite(including misclns4.tst) are available from here.
https://sourceforge.net/p/clipsrules/code/HEAD/tree/branches/63x/test_suite
Jamocha is an open source rule engine. The objective of Jamocha is to provide a high quality rule engine and expert system shell environment. We would provide you an engine, the required development tools and a best practice methodology.
...The model meta-data (meta-model level reasoning, or syntax reasoning)
2. Data level: reason about a model and its data (instance model, i.e., diagram)
FOML is built as a semantic layer on top of PathLP - a compact logic rule language of guarded path expressions, an adaptation of a subset of F-logic.
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NodeBrain is a rule engine for construction of state and event monitoring applications. It interacts with other monitoring components to perform simple element state monitoring or complex event correlation based on user specified rules. It is extended through the development of node modules (plug-ins) using NodeBrain's C API, and servants (programs written in any language) that interact with the rule engine via stdin, stdout, and stderr.
JLisa, \"Java Lisp-based Intelligent Software Agents\", is based on Lisa, http://lisa.sourceforge.net/, a production rule system similar to Jess. It runs in java through ABL, armed-bear Lisp, http://www.armedbear.org.
Contextual rule-based text normalization engine written in java, that can be used to implement stemming algorithms or phonetic normalizers. The project includes a french stemmer/phonetic normalizer, and a soundex implementation. Includes a Lucene Analyzer