TREAT: A Better Match Algorithm for AI Production Systems; Long Version
TREAT: A Better Match Algorithm for AI Production Systems; Long Version
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
Jess in action: rule-based systems in java
Jess in action: rule-based systems in java
JBoss Drools Business Rules
Architecture of the HeaRT hybrid rule engine
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
The HeKatE methodology. Hybrid engineering of intelligent systems
International Journal of Applied Mathematics and Computer Science - Computational Intelligence in Modern Control Systems
Enriching business processes with rules using the oryx BPMN editor
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
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In the paper an extended knowledge representation for rules is considered. It is called Extended Tabular Trees (XTT2) and it provides a network of decision units grouping rules working in the same context. The units are linked into an inference network, where a number of inference options are considered. The original contribution of the paper is the proposal and formalization of several different inference algorithms working on the same rule base. Such an approach allows for a more flexible rule design and deployment, since the same knowledge base may be used in different ways, depending on the application.