Open Autonomous Intelligence Initiative

Advocates for Open, ethical AI Models

OAII Architecture Overview: Base Model and Open SGI

Purpose

This page provides a unified architectural overview of the Open Autonomous Intelligence Initiative (OAII) Base Model and its relationship to Open SGI. It is intended to clarify scope, dependencies, and design intent, and to prevent category errors between normative standards and advanced interpretive models.

The architecture is deliberately layered.

  • OAII defines a normative, implementable base model for autonomous intelligence systems.
  • Open SGI defines an optional interpretive and generative layer that may operate within OAII‑compliant systems.

The separation between these layers is essential for implementability, governance, and long‑term extensibility.


Layer 1: OAII Base Model

Role of OAII

OAII exists to define what must be present in an autonomous intelligence system for it to be:

  • implementable in principle
  • governable by design
  • auditable and revisable
  • interoperable across implementations

OAII is a standards substrate. It is not a theory of mind, a cognitive architecture, or a product specification.

What OAII Specifies

The OAII Base Model normatively defines:

  • object classes (World, Signal, Event, Knowledge, Policy, Agent, Interface, Log, etc.)
  • required attributes and relationships
  • lifecycle semantics
  • privacy and access controls
  • policy enforcement boundaries
  • logging and accountability requirements

An OAII‑compliant system can be implemented using many different internal techniques while remaining interoperable and reviewable.

What OAII Explicitly Does Not Specify

OAII does not prescribe:

  • internal cognitive or learning architectures
  • representational metaphysics
  • epistemic hierarchies
  • innovation strategies
  • geometric or mathematical realizations

This restraint is intentional. OAII must remain implementable, reviewable, and stable across domains.

Minimum Viable Model (MVM)

The OAII Minimum Viable Model (MVM) demonstrates:

  • object completeness
  • end‑to‑end causality (signals → events → policies → actions)
  • governance by construction
  • auditability without inference opacity

Layer 2: Open SGI

Role of Open SGI

Open SGI is a higher‑order model that may be layered onto OAII‑compliant systems.

It introduces advanced structures for:

  • contextual interpretation
  • controlled differentiation and reintegration
  • innovation and novelty management
  • coherence, harmony, and viability testing

Open SGI assumes OAII compliance.

Why This Layering Matters

Without separation:

  • OAII would become speculative and non‑implementable
  • Open SGI would lack grounding and interoperability

With separation:

  • OAII remains accessible to engineers, regulators, and standards bodies
  • Open SGI can explore richer structures without destabilizing the base

This mirrors proven architectural patterns such as hardware abstraction vs. operating systems, or schemas vs. query planners.


Boundary Conditions

The following constraints apply:

  1. OAII systems MUST be valid without Open SGI
  2. Open SGI MUST operate only through OAII‑defined objects and policies
  3. OAII objects MUST NOT require Open SGI concepts to function
  4. Open SGI MUST NOT redefine OAII object semantics
  5. All Open SGI behavior MUST remain auditable through OAII Logs and Policies

These conditions preserve rigor, trust, and extensibility.


Levels in Open SGI: Indexing Structures, Not Ontologies

Clarifying the Meaning of Levels

Within Open SGI, Levels are introduced as indexing and coordination structures.

Levels are not ontological claims about reality, intelligence, or consciousness.

Any interpretation of Levels as metaphysical hierarchy is incorrect.

What Levels Are Not

Levels do not:

  • define what exists
  • replace OAII object types
  • assert epistemic superiority
  • modify OAII semantics
  • impose cognitive metaphysics

What Levels Are

Levels function as:

  • indexing coordinates for data, information, belief, and knowledge
  • directories for organizing interpretive contexts
  • control surfaces for differentiation and reintegration
  • staging regions for testing viability and harmony
  • bounded spaces for introducing novelty safely

Levels answer the question:

Where does this representation belong contextually?

—not what exists or what is real.


Levels and Worlds

Levels always exist within a World.

They do not span worlds, override worlds, or redefine world semantics.

All Level operations are:

  • world‑specific
  • policy‑bounded
  • logged and auditable
  • subject to revision and reintegration

Levels therefore index interpretation, not causation.


Prime and Composite Levels

Prime Levels

Prime Levels are used as:

  • minimally coupled regions
  • controlled generative spaces
  • constrained entry points for novelty

They support innovation without immediate systemic coupling.

Composite Levels

Composite Levels provide:

  • structured aggregation
  • harmonization zones
  • integration and validation checkpoints

The use of prime and composite levels is a design discipline, not a metaphysical assertion.


Transparency and Governance

Transparency arises because:

  • representations are explicitly locatable
  • contextual transitions are constrained
  • movements are logged
  • policies can reference level coordinates

Reviewers can ask and answer:

  • Where did a change occur?
  • Under what contextual constraints?
  • Why was reintegration permitted?

Levels make these questions answerable without opacity.


Innovation Without Collapse

Open SGI uses Levels to enable governed innovation:

  • novelty is isolated
  • viability and harmony are tested
  • rollback and reintegration are supported
  • catastrophic updates are avoided

Innovation becomes structured exploration rather than uncontrolled emergence.


Geometry as Representation, Not Reality

Geometric realizations (including spherical representations) are used as:

  • modeling tools
  • visualization aids
  • constraint mechanisms

They do not assert physical or metaphysical truth.

A limited axiomatic operation set is employed to:

  • preserve safety
  • maintain explainability
  • bound system behavior

Geometry serves discipline and governance, not ontology.


Summary

  • OAII provides the normative, implementable foundation for autonomous intelligence
  • Open SGI optionally introduces structured interpretive and generative mechanisms
  • Levels are indexing structures, not ontologies
  • Separation between layers preserves credibility, safety, and extensibility

OAII defines the floor. Open SGI explores the structured space above it.

Leave a comment