Memory · Software component
Memory Importance Scorer
Software componentMemoryCognition & Memoryarc:MemoryImportanceScorer
A memory component that assigns each episode an importance score from outcome significance, rarity/novelty, feedback quality, recency and how often its lessons proved useful in later retrievals.
Responsibility. Estimates how informative a memory is so encoding, retention and retrieval can prioritize it.
Also known as: Significance estimator, Episode prioritizer, Novelty scorer
Relationships
is invoked by dependency
reads dependency
writes dependency
Design guidance
- SHOULD weight failures, rare problems, explicit feedback and recency above routine confirming successes.
Classification
- Patterns
- Importance scoringNovelty detectionOutcome evaluationUsage-frequency reinforcement
- Quality attributes
- Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)Performance efficiency (ISO/IEC 25010)
- Risks mitigated
- Numerous routine episodes crowding out informative ones
Sources
- Ch5.7: T. Nguyen, "Episodic Memory," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.7. ISBN: 9798244538229.