Open Autonomous intelligence initiative
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How to review the OAII Base Model
Key Concepts
OAII Base Model
Introducing the Personal Event Recognition model
Open Autonomous Intelligence Initiative
Advocate for Open AI Models
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OAII Base Model — World v0.1.1
The World object provides the foundational contextual container within which OAII objects operate. It establishes the structural, semantic, and interpretive boundaries that make Signals, Events, Agents, Knowledge, Policies, and Interfaces intelligible and interoperable. In Edge‑primary systems, the World object enables local coherence without dependence on centralized or global state.
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OAII Base Model — Common Types v0.1
This post defines shared abstract types used by OAII Base Model object definitions.
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OAII Base Model — World v0.1
The World object provides the foundational contextual container within which all OAII objects operate. It establishes the structural, semantic, and interpretive boundaries that make signals, events, agents, knowledge, and policies intelligible and interoperable. In an Edge‑primary system, the World object enables local coherence without dependence on centralized or global state.
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From Axioms to Architecture: Formalizing the OAII Foundations and Base Object Model
OAII is transitioning from an axiomatic presentation to a layered architectural model that separates foundational principles from base object classes and system-specific implementations.
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The World Baseline Level (WBL): Making Levels Interpretable in World-Based Intelligence
Open SGI Levels are used to organize data, programs, and structures within Worlds. Levels are positive integers, built using multiplication only, with no inverses. Each prime level corresponds to an irreducible architectural foundation, and composite levels represent combinations of those foundations. This design has consequences: The number of possible composite levels is unbounded. Numeric magnitude…
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Understanding the Difference Between Generative Base and Computer Operating Systems
Autonomous intelligence relies on two very different kinds of foundations. One is ontological—a foundation for meaning. The other is computational—a foundation for execution. These two foundations are often confused, especially when discussing the architecture of Open SGI, OAII’s world-based framework for safe and intelligible autonomous intelligence. This post clarifies a critical distinction: Generative Base (GB)…
Open Autonomous Intelligence Initiative 