| hmaa-simulation.html | HMAA v2.4 authority computation engine | Mar 7, 2026 |
| LICENSE | All Rights Reserved · Proprietary | Mar 7, 2026 |
1<!DOCTYPE html> 2<html lang="en"> 3<head> 4<title>HMAA Simulation Dashboard</title> 5 6/* HMAA: Human-Machine Authority Architecture 7 * U.S. Provisional Application No. 63/999,105 8 * Filed: March 7, 2026 9 * Inventor: Burak Oktenli (Sole) 10 * Disclosure DOI: 10.5281/zenodo.18861653 11 */ 12 13// Full source: 4,500+ lines
HMAA: Human-Machine Authority Architecture
HMAA is an Authority-Governed Assured Autonomy Research Platform implementing a formally verified governance architecture for autonomous rovers. Core pipeline: six physics-based sensor models produce Dempster-Shafer belief masses, Shafer discounting weights evidence by cross-sensor validation, fused trust drives a formally verified authority FSM with hysteresis, dwell enforcement, and oscillation lockout. Phase 1 baseline: 89/100 engineering score.
Patent Status
U.S. Provisional Application No. 63/999,105
Filed: March 7, 2026 · Receipt: 74759595
Status: Submitted, Awaiting Review
Disclosure DOI: 10.5281/zenodo.18861653
Key Features
- 42-file Python package with pip-installable architecture
- 98 automated tests (D-S engine, FSM, sensors, harness, conformance, twin, validation)
- 7 validated experiments: camera occlusion, LiDAR spoofing, RF jamming, IMU drift, compound attack, cross-sensor, recovery
- TLA+ formal specification verified by TLC model checker (48,751 states, 8 properties)
- Dempster-Shafer trust fusion with Shafer discounting and cross-sensor validation
- Authority FSM with hysteresis, dwell enforcement, oscillation lockout
- CARA recovery mode manager with command restrictions
- Predictive digital twin with risk zone detection
- Deterministic simulation: same seed produces identical SHA-256 trace hash
- Monte Carlo statistical validation (N-trial)
- Immutable trace artifacts with schema versioning and full-artifact hashing
- Browser-based simulation dashboard (HTML)
- GitHub Actions CI pipeline
Technical Specifications
- Language: HTML, JavaScript, CSS (single-file architecture)
- Dependencies: None (zero external libraries)
- Runtime: Browser-based, client-side only
- Lines of code: 3,228
Author
Burak Oktenli
Georgetown University, M.P.S. Applied Intelligence
ORCID: 0009-0001-8573-1667
Contact: info@burakoktenli.com
License
Copyright © 2026 Burak Oktenli · Georgetown University M.P.S. Applied Intelligence · ORCID 0009-0001-8573-1667 · Washington, DC · CC BY 4.0