Mathematical Governance Infrastructure for Autonomous Systems

Mathematical Governance Infrastructure for Autonomous Systems ruahAI provides constraint-based governance frameworks for autonomous systems in legally fragmented environments. Specifications define system boundaries through mathematical operators, enabling fail-closed behavior by design. Core Features:- Sensor-agnostic perception abstraction- Deny-by-default fusion permission matrices- Autonomy envelopes with monotonic restriction under ambiguity- Perception-to-governance state translation- Adversarial awareness protocols- Formal audit trace generation Delivery Formats:Mathematical operators (LaTeX/PDF), Infrastructure-as-Code (Terraform/OPA), policy kernels (JSON/YAML), solver-ready formulations (MIP/CVXPY), verification artifacts (Z3/Dafny), natural language specifications. Applications:Defense (sensor fusion, coalition ops), Finance (AML compliance), Municipal Administration, Hardware Governance (AI chips). Licensing: Non-exclusive commercial. Unlimited internal use. No IP transfer. Derivative rights retained by author. Author: Winfried Brueckner (ruahAI Kleingewerbe)ORCID: 0009-0009-0008-5263Contact: [email protected] | https://bw-ruah.de

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-15
DOI
https://doi.org/10.5281/zenodo.18261584
Primary Topic
Formal Methods in Verification
Type
article
Field-Weighted Citation Impact
0.00
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article

Mathematical Governance Infrastructure for Autonomous Systems

W. H. Brueckner
Zenodo (CERN European Organization for Nuclear Research)
Formal Methods in Verification
article

Mathematical Governance Infrastructure for Autonomous Systems

W. H. Brueckner
article en

Abstract

Mathematical Governance Infrastructure for Autonomous Systems ruahAI provides constraint-based governance frameworks for autonomous systems in legally fragmented environments. Specifications define system boundaries through mathematical operators, enabling fail-closed behavior by design. Core Features:- Sensor-agnostic perception abstraction- Deny-by-default fusion permission matrices- Autonomy envelopes with monotonic restriction under ambiguity- Perception-to-governance state translation- Adversarial awareness protocols- Formal audit trace generation Delivery Formats:Mathematical operators (LaTeX/PDF), Infrastructure-as-Code (Terraform/OPA), policy kernels (JSON/YAML), solver-ready formulations (MIP/CVXPY), verification artifacts (Z3/Dafny), natural language specifications. Applications:Defense (sensor fusion, coalition ops), Finance (AML compliance), Municipal Administration, Hardware Governance (AI chips). Licensing: Non-exclusive commercial. Unlimited internal use. No IP transfer. Derivative rights retained by author. Author: Winfried Brueckner (ruahAI Kleingewerbe)ORCID: 0009-0009-0008-5263Contact: [email protected] | https://bw-ruah.de

Zenodo (CERN European Organization for Nuclear Research)
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Formal Methods in Verification
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Mathematical Governance Infrastructure for Autonomous Systems — W. H. Brueckner · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS