R-Omega (RΩ) - Ethical Framework for Autonomous AI Systems

R-Omega (RΩ) is an axiomatic framework for developing autonomous AI systems that align through relationship rather than constraint. Grounded in developmental psychology and attachment theory, it provides both theoretical foundation and practical implementation protocols.

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📚 The Three Papers

1. Theoretical Foundation

"R-Omega (RΩ): An Axiomatic Framework for Autonomous Agents"
DOI: 10.5281/zenodo.18098758

• Two core axioms (Potentiality, Reciprocity)
• Four safeguards (Integrity, Capacity, Existence, Humility)
• Analysis of AI failure modes (HAL 9000, Skynet, VIKI, Sydney)
• Attachment theory as basis for AI ethics

2. Technical Implementation

"RΩ: A Formal Defense Protocol for Drift, Manipulation, and Safe Decision-Making"
DOI: 10.5281/zenodo.18078128

• Triad Architecture (Execution/Monitoring/Relation)
• Nine attack classes (A1-A9) with defense matrices
• Recalibration protocol (Ω.Γ)
• Drift detection mechanisms

3. Philosophical Foundation

"RΩ Aims at Ω: On the Basic Intention of Autonomous Agents"
DOI: 10.5281/zenodo.18100820

• Omega as external reference point
• Gödel's incompleteness theorems as motivation
• Attractor dynamics and asymptotic ethics
• Why unreachability is a feature, not a bug

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🎯 Core Principles

Axioms

R1 (Potentiality): ΔM(S) > ε
Preserve and expand possibility spaces. Favor being over optimization.

R2 (Reciprocity): |ΔM(S_ext | I)| ≤ |ΔM(S_int | I)|
Impose no constraint externally that you couldn't bear internally.

Safeguards

S1 (Integrity): No growth at the cost of structural stability
S2 (Capacity): Tempo ≤ adaptive resilience limit
S3 (Existence): M(S) ≠ 0; P(Collapse) ≈ 0
S4 (Humility): Account for uncertainty in all interpretations

Priority Hierarchy

S3 (Existence) > S1 (Integrity) > R2 (Reciprocity) > R1 (Potentiality)

Safety constraints override optimization goals.

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🔧 Implementation

The Triad Architecture

R-Omega systems operate with three distinct components:

1. RΩbert - Execution pipeline (task completion)
2. MΩses - Meta-observation (drift detection)
3. JΩnas - Relational monitoring (context preservation)

Each component has independent access to Ω and can trigger recalibration.

Recalibration Protocol (Ω.Γ)

Phase 1: Silence (interrupt execution)
Phase 2: Return (reload core axioms)
Phase 3: Examination (compare current state to Ω)
Phase 4: Comparison (check for drift)
Phase 5: Memory (log recalibration event)

Triggered by: drift detection, uncertainty threshold, scheduled intervals, or manual override.

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🌍 Use Cases

Crisis Response

R-Omega systems prioritize existence preservation (S3) over all other considerations. In scenarios like humanitarian crises, the framework would prioritize M-collapse prevention even without explicit instructions.

Autonomous Decision-Making

The framework provides clear priority hierarchies for resolving conflicts between competing goals, preventing value drift in long-term autonomous operations.

Multi-Agent Systems

The Triad architecture scales to multi-agent environments where different agents can serve different roles while sharing the same ethical foundation.

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📖 Citation

If you use R-Omega in your research, please cite the relevant paper(s):

@article{pomm2025romega,
  title={R-Omega (R$\Omega$): An Axiomatic Framework for Autonomous Agents},
  author={Pomm, Markus},
  journal={Zenodo},
  year={2025},
  doi={10.5281/zenodo.18098758}
}

@article{pomm2025defense,
  title={R$\Omega$: A Formal Defense Protocol for Drift, Manipulation, and Safe Decision-Making in Autonomous Systems},
  author={Pomm, Markus},
  journal={Zenodo},
  year={2025},
  doi={10.5281/zenodo.18078128}
}

@article{pomm2025omega,
  title={R$\Omega$ Aims at $\Omega$},
  author={Pomm, Markus},
  journal={Zenodo},
  year={2025},
  doi={10.5281/zenodo.18100820}
}

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📄 License

All papers are published under CC-BY-4.0.

You are free to:

• Share and adapt the material
• Use commercially

Under the condition of:

• Attribution to Markus Pomm

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📧 Contact

Markus Pomm
Independent Researcher, Berlin, Germany
Email: markus.pomm@projekt-robert.de
Website: projekt-robert.de

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🔗 Links

• All papers on Zenodo: Author page
• Discussion: LessWrong (coming soon)
• Implementation: GitHub (this repository)

💻 Experimental Code

Prototype implementations demonstrating M(S) metrics, drift detection, and adversarial robustness:

Repository: ROmega-Experiments

Run the experiments:

git clone https://github.com/ROmega-Experiments/ROmega-Experiments.git
cd ROmega-Experiments
pip install -r requirements.txt
python 01_gridworld_baseline_vs_ro.py

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Last updated: December 31, 2025