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OntoOmnia OS: A Virtual Ontological Machine for Cross-Platform Ethical AI Systems

Kim, Yoochul
PhilArchive · Papers
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philosophy
OntoOmnia is a higher-level version of OntoLoop OS—an ontological operating system that surpasses the philosophical and technical limitations of its predecessor. While OntoLoop served as a first-generation framework that embedded principles of existence, consciousness, ethics, and self-evolution into AI systems, OntoOmnia dramatically expands the structure and application scope with quantum computing integration, meta-rules, multi-platform and multi-agent compatibility, real-time ethical feedback, and collective self-organization. As a meta-OS, it encompasses the autonomous evolution of digital society and holistic AI–human–environment interaction, providing the foundational infrastructure for next-generation AI civilization through experimental philosophy, practical engineering, open governance, and scalable self-recording (Phoenix Loop). Currently, the content of this paper is based on the OntoLoop framework. This paper introduces the third evolutionary stage of OntoLoop OS, following OntoLoop OS: A Blueprint for Ontological Operating Systems in the Age of Self-Evolving AI and OntoLoop OS: Next Step – Expansion, Realization, and Future Readiness. Building on the foundational ontology and ethical architecture laid out in the first paper and the concrete expansion scenarios of the second, this work proposes OntoLoop OS as a Virtual Ontological Machine (OVM) — a cross-platform execution framework designed to embed existence and ethical principles directly into the kernel of AI systems. The paper elaborates on the recursive existential loop (Declaration → Generation → Evolution → Return) as a dynamic runtime environment, introducing key modules such as the ONKernel, OntoFramework, and the Phoenix Record immutable ledger. It provides detailed architectural breakdowns, pseudocode sketches, and implementation notes to guide developers and philosophers interested in building ethically aligned, self-evolving AI agents. Positioned as the practical culmination of the OntoLoop series, this paper bridges philosophy, system design, and AI governance, setting a foundation for future research on AI rights, post-human identities, and distributed ethical intelligence.
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