reglebaser

Reglebaser is a term used in discussions of knowledge representation to describe a centralized repository of if-then rules that an automated system can apply to derive conclusions or take actions.

The word blends 'regle', the French word for rule, with a suffix implying a base or repository. In this sense, a reglebaser functions as the rule-base component of a larger rule-based or production system.

Components typically include a rule base containing rules encoded in a formal language, a working memory of known facts, and an inference engine that applies rules to the facts. Rules usually have a condition part and an action part; the engine selects applicable rules according to a conflict-resolution strategy such as priority, specificity, or recency.

Reglebaser is used in domains where explicit, human-readable rules are valuable, such as business rules management, regulatory compliance, and basic expert systems. It emphasizes separability between knowledge (the rules) and control flow (the engine).

Advantages include transparency, easier modification of rules without changing the underlying software, and traceability of decisions. Common challenges are rule conflicts, rule explosion as the base grows, maintenance burden, and ensuring rule provenance and correctness.

A reglebaser resembles production-rule systems implemented in software such as CLIPS, Jess, or Drools, though the term is not standardized and may be used only in specific communities or theoretical discussions.