Cognition · Data artifact
Conflict Resolution Policy
Data artifactCognitionCognition & MemoryVariation point (abstract)arc:ConflictResolutionPolicy
An abstract configuration that determines which rule fires when several rules match the current facts simultaneously.
Responsibility. Orders simultaneously matching rules so exactly one executes next.
Also known as: Conflict resolution strategy, Agenda strategy
Variants
| Variant | When to choose |
|---|---|
| Layered Conflict Resolution Policy | Choose when fine-grained control is needed at scale: explicit priorities for business-critical rules, automatic specificity for most rules, and recency so updated rules take effect without re-prioritising. |
| Order-of-Entry Conflict Resolution Policy | Choose when simplicity and determinism matter most and the rule base can be maintained as a carefully sequenced decision list with specific rules placed before general fallbacks. |
| Recency Conflict Resolution Policy | Choose when knowledge evolves rapidly and newer rules encode more current understanding (e.g., new fraud patterns); requires rule modification timestamps and clear documentation. |
| Salience (Priority) Conflict Resolution Policy | Choose when explicit control is needed, e.g., safety-critical systems where emergency rules must pre-empt optimisation or routine rules; requires careful priority assignment and maintenance. |
| Specificity Conflict Resolution Policy | Choose when rules form natural general-to-specific hierarchies where nuanced policies should override broad defaults; needs a separate policy for equal-specificity conflicts. |
Relationships
configures structural
Design guidance
- MUST be documented so domain experts can predict system behaviour and debug unexpected decisions.
Classification
- Quality attributes
- Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)Explainability (NIST AI RMF: explainable and interpretable)
- Risks mitigated
- Surprising decisions from ambiguous rule precedence
Sources
- Ch5.11: T. Nguyen, "Rule-Based Decision Making Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.11. ISBN: 9798244538229.