Cognition · Software component
Decision Sensitivity Analyzer
Software componentCognitionCognition & Memoryarc:SensitivityAnalyzer
An analysis component that re-evaluates decisions while varying probabilities, objective weights and risk parameters to reveal where the optimal choice changes.
Responsibility. Determines how robust the selected action is to plausible variation in utility inputs.
Also known as: Sensitivity analysis, What-if analysis
Relationships
invokes dependency
is invoked by dependency
reads dependency
sends data to dynamic
Design guidance
- SHOULD be used to support shared decision making by showing stakeholders how rankings change with their own preference parameters.
Quantitative guidance
As stated by the sources; verify before use.
- Medical example: raising side-effect penalty from 30 to 75 QALYs flips optimal choice from Treatment A (EU 58) to Treatment C (EU 46.25 vs 40) (Ch5.10).
Classification
- Patterns
- Parameter sweepDecision-flip threshold identification
- Quality attributes
- Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)Explainability (NIST AI RMF: explainable and interpretable)
- Risks mitigated
- Spurious precision in expected-utility rankingsFixed weights under changing context
Sources
- Ch5.10: T. Nguyen, "Utility-Based Decision Making Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.10. ISBN: 9798244538229.