Cognition · Software component
Decision Fusion Aggregator
Software componentCognitionCognition & MemoryVariation point (abstract)arc:DecisionFusionAggregator
An abstract cognition component that combines conclusions produced independently and in parallel by different decision paradigms into one unified decision.
Responsibility. Fuses parallel paradigm outputs into a single decision.
Also known as: Fusion layer, Result fusion mechanism
Variants
| Variant | When to choose |
|---|---|
| Constraint-Gated Decision Fusion | Choose when regulatory or safety rules must never be overridden by learned or utility scores. |
| Learned Meta Decision Fusion | Choose when training data showing which combinations produce the best outcomes is available. |
| Weighted Voting Decision Fusion | Choose when component accuracies on similar cases are known and redundancy should catch errors through disagreement. |
Relationships
receives data from dynamic
Design guidance
- SHOULD define principled conflict resolution for disagreeing components.
- SHOULD apply timeout policies and handle partial results when components finish at different times.
Classification
- Patterns
- Parallel integration architectureTimeout and partial-result handling
- Quality attributes
- Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)Performance efficiency (ISO/IEC 25010)
- Risks mitigated
- Single-paradigm blind spotsSingle component failure
Sources
- Ch5.13: T. Nguyen, "Hybrid Decision Systems Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.13. ISBN: 9798244538229.