Agentic AI Reference Architecture

Cognition · Software component

Confidence Basis Explainer

Software componentCognitionCognition & Memoryarc:ConfidenceBasisExplainer

An explanation component that turns a confidence score into its basis: the number of similar historical precedents, their outcomes, and the novel factor combinations that create uncertainty.

Responsibility. Explains why the agent holds a given confidence level.

Also known as: Explainable confidence attribution

receives data fromsends data toreadsConfidence Estimator: receives data fromConfidence EstimatorApproval Review Console: sends data toApproval Review ConsoleDecision Outcome History Store: readsDecision Outcome History…
Direct neighbourhood (hover for relationship types)

Relationships

reads dependency

receives data from dynamic

sends data to dynamic

Quantitative guidance

As stated by the sources; verify before use.

Classification

Patterns
Confidence attribution
Quality attributes
Transparency and accountability (NIST AI RMF: accountable and transparent)Interaction capability (ISO/IEC 25010)
Risks mitigated
Uninterpretable bare confidence scoresRubber-stamp oversight

Sources

  1. Ch10.2: T. Nguyen, "Proactive Agents," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.2. ISBN: 9798244538229.