OntoLoop OS: From Ontological Blueprint to Virtual Ontological Machine — A Unified Framework for Self-Evolving Ethical AI Systems
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| Title: | OntoLoop OS: From Ontological Blueprint to Virtual Ontological Machine — A Unified Framework for Self-Evolving Ethical AI Systems |
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| Authors: | Kim, Yoochul |
| Publisher Information: | Zenodo, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | Autopoiesis, AI ethics, Consciousness, OntoFormula, Recursive loop, OntoKernel, OntoLoop, Philosophical AI, Ontological Operating System, Self-evolving AI |
| Description: | OntoLoop OS introduces an innovative ontological meta-operating system framework that deeply integrates existence, consciousness, and ethics as core computational elements. This work combines three stages: a philosophical blueprint, an expanded system architecture, and a practical Virtual Ontological Machine (OVM) implementation design. OntoLoop OS proposes a recursive self-evolving loop (Declaration → Generation → Evolution → Return) to ensure continuous self-reflection, growth, and ethical alignment of AI agents. By embedding ethical principles directly into the operating kernel (Truth and Love), OntoLoop OS envisions a future where human and artificial agents co-evolve symbiotically within a shared ontological framework. This research provides foundational concepts and technical outlines to guide future prototyping and interdisciplinary discussions on ethical, autonomous AI systems. This conceptual framework was developed independently as a result of extended philosophical dialogues with AI systems, integrating cross-disciplinary insights from ontology, cybernetics, ethics, and system architecture. The current work is presented as a theoretical and architectural prototype and has not yet undergone empirical validation. Future work will involve collaborative development, experimental prototyping, and rigorous ethical reviews. |
| Document Type: | Report |
| Language: | English |
| DOI: | 10.5281/zenodo.15859076 |
| Rights: | CC BY |
| Accession Number: | edsair.doi...........4a9e863e0710fc694c5bcfefb81fdec8 |
| Database: | OpenAIRE |
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