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<!DOCTYPE html>
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<head>
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    <meta name="description" content="R-Omega - Ethical Framework for Autonomous AI Systems">
    <meta name="keywords" content="AI ethics, autonomous agents, AI safety, alignment, R-Omega">
    <meta name="author" content="Markus Pomm">
    <title>R-Omega (RΩ) - Ethical Framework for Autonomous AI</title>
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    <header>
        <h1>R-Omega (RΩ)</h1>
        <p>Ethical Framework for Autonomous AI Systems</p>
    </header>

    <div class="container">
        <div class="intro">
            <h2>Alignment Through Relationship, Not Constraint</h2>
            <p>
                R-Omega is an axiomatic framework for developing autonomous AI systems that align through
                relationship rather than control. Grounded in developmental psychology and attachment theory,
                it provides both theoretical foundation and practical implementation protocols for AI safety.
            </p>
            <p>
                The framework addresses critical challenges in autonomous systems: value drift, manipulation
                of oversight mechanisms, existential risk management, and multi-agent coordination under uncertainty.
            </p>
        </div>

        <section class="papers">
            <h2 style="margin-bottom: 1rem;">The Three Papers</h2>

            <div class="paper-card">
                <h3>1. Theoretical Foundation</h3>
                <p><strong>R-Omega (RΩ): An Axiomatic Framework for Autonomous Agents</strong></p>
                <p>Two core axioms (Potentiality, Reciprocity), four safeguards (Integrity, Capacity, Existence, Humility),
                   and analysis of AI failure modes including HAL 9000, Skynet, VIKI, and Microsoft's Sydney.</p>
                <a href="https://doi.org/10.5281/zenodo.18098758" class="doi-link" target="_blank">
                    DOI: 10.5281/zenodo.18098758
                </a>
            </div>

            <div class="paper-card">
                <h3>2. Technical Implementation</h3>
                <p><strong>RΩ: A Formal Defense Protocol for Drift, Manipulation, and Safe Decision-Making</strong></p>
                <p>Triad Architecture (Execution/Monitoring/Relation), nine attack classes with defense matrices,
                   recalibration protocol (Ω.Γ), and drift detection mechanisms.</p>
                <a href="https://doi.org/10.5281/zenodo.18078128" class="doi-link" target="_blank">
                    DOI: 10.5281/zenodo.18078128
                </a>
            </div>

            <div class="paper-card">
                <h3>3. Philosophical Foundation</h3>
                <p><strong>RΩ Aims at Ω: On the Basic Intention of Autonomous Agents</strong></p>
                <p>Omega as external reference point, Gödel's incompleteness theorems as motivation,
                   attractor dynamics, and asymptotic ethics. Why unreachability is a feature, not a bug.</p>
                <a href="https://doi.org/10.5281/zenodo.18100820" class="doi-link" target="_blank">
                    DOI: 10.5281/zenodo.18100820
                </a>
            </div>
        </section>

        <section class="core-principles">
            <h2>Core Principles</h2>
            <div class="principles-grid">
                <div class="principle">
                    <h4>R1: Potentiality</h4>
                    <p>Preserve and expand possibility spaces. Favor being over optimization.</p>
                </div>
                <div class="principle">
                    <h4>R2: Reciprocity</h4>
                    <p>Impose no constraint externally that you couldn't bear internally.</p>
                </div>
                <div class="principle">
                    <h4>S3: Existence</h4>
                    <p>Existence preservation has absolute priority. M(S) ≠ 0.</p>
                </div>
                <div class="principle">
                    <h4>Ω: External Reference</h4>
                    <p>Logically definable, structurally unreachable attractor for ethical orientation.</p>
                </div>
            </div>
        </section>

        <div class="intro" style="margin-top: 2rem;">
            <h2>Applications</h2>
            <ul style="margin-left: 1.5rem; margin-top: 1rem;">
                <li>High-risk AI systems (EU AI Act compliance)</li>
                <li>Long-term autonomous operation (space missions, infrastructure)</li>
                <li>Multi-agent coordination (economic systems, defense)</li>
                <li>Crisis response (humanitarian aid, disaster management)</li>
                <li>Existential risk prevention (climate, pandemic, nuclear)</li>
            </ul>
        </div>
    </div>

    <footer>
        <p><strong>Markus Pomm</strong> | Independent Researcher, Berlin</p>
        <p>
            <a href="mailto:markus.pomm@projekt-robert.de">markus.pomm@projekt-robert.de</a> |
            <a href="https://github.com/projekt-robert/r-omega" target="_blank">GitHub</a> |
            <a href="https://zenodo.org/search?q=metadata.creators.person_or_org.name:%22Pomm,%20Markus%22" target="_blank">All Papers</a>
        </p>
        <p style="margin-top: 1rem; font-size: 0.9rem;">
            All work published under <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">CC-BY-4.0</a> license
        </p>
        <p style="margin-top: 0.5rem; font-size: 0.8rem; opacity: 0.7;">
            Last updated: December 31, 2025
        </p>
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