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Rule repository

As explained in Inside AI

A rule repository is an organized storage component in which business rules are defined, managed, and retrieved.

A rule repository is the organized storage component of a business rules management system (BRMS). It defines, organizes, and efficiently stores business rules so the wider system can manage and apply them. section 2.2

A rule repository works alongside other BRMS components:

  • A rule-authoring environment creates, modifies, and tests stored rules. section 2.2
  • A rule coherence module checks new or changed rules for contradictions and inconsistencies. section 2.2
  • An inference engine executes the defined rules, while governance manages versions, changes, and compliance. section 2.2

Self-driving vehicle rules

A repository could store rules covering speed limits, stop signs, traffic lights, right-of-way, pedestrian priority, lane changes, road closures, weather, visibility, congestion, and unexpected stops. These rules can then support automated decisions about vehicle behavior. section 2.2

How Inside AI covers it

How deep it goes
Defines the repository’s storage role and its relationships with authoring, coherence, execution, governance, and analytics components.
Examples
Uses self-driving vehicle rules for traffic controls, pedestrian priority, road conditions, and unexpected stops.
How it connects
Connects business rules with business rules management systems, inference engines, rule authoring, rule coherence, governance, and analytics.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Inside AI. The section links point to the parts of the book it draws on.