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Hierarchical Mission Authority Architecture (HMAA) — deterministic authority-control model for autonomous systems with reproducible simulations and safety assurance report.

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Hierarchical Mission Authority Architecture for autonomous systems

by burakoktenli·Mar 5, 2026·2 points·0 comments
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AI Analysis

●●SolidBig BrainNiche Gem

Authority gating for autonomous systems with reproducible safety evidence and formal assurance report.

Strengths
  • •Multiplicative gate structure forces all factors simultaneously sufficient, rejecting naive credential-only models
  • •Deterministic closed-form formula with τ-dependent exponent sharpens credential requirements as sensor trust degrades
  • •Includes reproducible CLI engine, Monte Carlo experiments, GSN safety argument, FMEA—complete safety-case evidence package
Weaknesses
  • •Niche audience (robotics/autonomy); unclear real-world deployment validation or field testing
  • •Authority model itself is relatively simple—the value proposition is comprehensive assurance packaging, not novel control theory
Category
AI/ML
Target Audience

Roboticists, autonomous systems engineers, safety-critical systems designers

Similar To

ROS security frameworks · Defense-in-depth autonomous system architectures

Post Description

Hi HN,

I built a small architecture exploring how autonomous systems can manage operational authority when sensor trust degrades or environmental threats increase.

The model computes a continuous authority value A ∈ [0,1] based on four inputs:

• operator quality • mission context confidence • environmental threat • sensor trust

The authority value maps to operational tiers that determine what actions an autonomous system is allowed to perform.

I included:

– deterministic simulation engine – reproducible Monte Carlo experiments – interactive demo – technical report with DOI

Demo: https://burakoktenli-ai.github.io/hmaa

Technical report: https://doi.org/10.5281/zenodo.18861653

I'd love feedback from engineers working on robotics, safety-critical systems, or AI autonomy.

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