Open Autonomous intelligence initiative
Defining the objects, policies, and boundaries that make autonomy governable
How to Review the Base Model and the PER MVM
Key Concepts
OAII Base Model
Introducing the PER mvm
Open Autonomous Intelligence Initiative
Advocates for Open, ethical AI Models
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Theorem T3 — Recursive Coherence
The Recursive Coherence Theorem establishes that multi‑level stability emerges only when: each level is locally harmonious and viable, and cross‑level mappings and interfaces maintain structural integrity. This is the foundational theorem behind hierarchical cognition, layered governance, multi-scale psychology, and SGI architectures designed for safety, transparency, and resilience.
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Theorem T2 — Complementary Activation
T2 shows that polarity is generative, not competitive. Under suitable conditions, activating both poles yields outcomes better than relying on either alone. In Open SGI and PER/Siggy, this theorem justifies blended strategies that balance safety with autonomy, resulting in improved performance, user experience, and long-term viability.
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Theorem T1 — Contextual Selection Theorem
The Contextual Selection Theorem explains how Open SGI systems—especially Siggy in PER applications—select the appropriate expression of any polarity based on context while preserving cross-axis integrity and global viability.
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UPA in Open SGI: How the Axioms Become Architecture
This post explains how UPA is implemented inside the Open SGI architecture across:
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Experiential Grounding of the UPA: Phenomenology, Ontology, and the Physiology of Mind
Human introspection reveals the same patterns that UPA describes ontologically. Neuroscience implements the same structures biologically. This triple alignment means: UPA is not simply a philosophical theory. It is a framework that unifies the structural conditions of being, experience, and mind. This gives UPA both explanatory power and testability—placing it in a uni
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UPA Axiom 16 — World Genesis
The principle governing the formation, emergence, and initial structuring of Worlds (Wᵢ) from Unity (𝕌) through polarity (σ), contextualization (𝒳), differentiation (Π), and viability constraints (𝒱).
Open Autonomous Intelligence Initiative 