Open Autonomous Intelligence Initiative

Advocates for Open, ethical AI Models

OAII and Open SGI Base Models bridged Specification

Status: Conceptual Specification / Working Draft
Purpose: To define a clear relationship between the OAII Base Model and the Open Simulated General Intelligence (Open SGI) Base Model, enabling interoperability, explainability, and progressive cognitive simulation.


1. Design Principles

  1. Layered Architecture
    OAII provides the interoperable autonomy substrate. Open SGI extends OAII with semantic, contextual, and geometric cognition.
  2. Semantic Stability
    Core meanings (Events, Knowledge, Policies) remain stable even as recognition and modeling evolve.
  3. Transport and Platform Independence
    All models operate independently of UART, USB, Wi‑Fi, Ethernet, or cloud services.
  4. Inspectability and Governance
    All reasoning and action pathways must be observable, auditable, and constrained by Policy.
  5. UPA Alignment
    Open SGI components operationalize Unity–Polarity–Context–Harmony axioms where appropriate.

2. OAII Base Model (Core Interoperability Layer)

The OAII Base Model defines the universal vocabulary for autonomous, distributed systems.

2.1 Core Classes

2.1.1 Device

Represents a physical or virtual computing substrate hosting capabilities.

2.1.2 Sensor

Represents a source of observable data.

2.1.3 Signal

Represents a normalized unit of observation produced by a Sensor.
Includes raw Observations and derived Feature Signals.

2.1.4 Event

Represents a semantically meaningful occurrence recognized within a system.
Primary unit of interpretation for autonomy.

2.1.5 Knowledge

Represents structured, retained, interpretable information derived from Signals and Events.

2.1.6 Policy

Represents explicit, inspectable constraints governing recognition and action.

2.1.7 Agent

Represents an autonomous or semi-autonomous reasoning entity.

2.1.8 Interface

Represents controlled interaction surfaces for humans and systems.

2.1.9 Log

Provides privacy-aware, structured system memory.

2.1.10 Envelope

Represents a transport-agnostic wrapper for OAII messages.


2.2 Supporting Constructs

Observation

Low-level normalized sensor output.

Feature Signal

Derived semantic evidence extracted from Observations.

Episode

Time-bounded aggregation window for interpretation.

EventType / EventInstance

Separates event definition from event occurrence.


2.3 OAII Responsibilities

  • Sensor integration
  • Signal normalization
  • Event recognition
  • Knowledge persistence
  • Policy enforcement
  • Agent coordination
  • Interface mediation
  • System logging
  • Inter-node communication

3. Open SGI Base Model (Semantic and Cognitive Extension Layer)

The Open SGI Base Model extends OAII with explicit representations of meaning, context, and cognitive structure.


3.1 World Model

3.1.1 World (Wᵢ)

A coherent semantic domain in which Events, Knowledge, and Policies are interpreted.

Attributes:

  • worldId
  • scope
  • polaritySystem
  • contextField
  • harmonyMetrics
  • objectSchemas
  • transformationRules

3.1.2 World Schema Template

Defines reusable patterns for constructing Worlds.

Includes:

  • Ontological primitives
  • Polarity axes
  • Context variables
  • Viability constraints
  • Mapping rules

3.2 Polarity System

3.2.1 PolarityAxis / SigmaPair

Represents a complementary pair of semantic extremes.

Examples: stability–change, autonomy–dependence, privacy–transparency.


3.2.2 PolaritySystem (Π)

A structured network of PolarityAxes governing semantic dynamics within a World.


3.3 Context Model

3.3.1 ContextField

Represents dynamic situational modulation of meaning.

3.3.2 ContextState

Represents instantaneous configuration of contextual parameters.


3.4 Harmony and Viability

3.4.1 HarmonyMetric

Quantifies coherence, balance, and viability of system trajectories.

3.4.2 ViabilityThreshold

Defines acceptable operational regions within a World.


3.5 Inter-World Structure

3.5.1 WorldMapping (FunctorBridge Φᵢⱼ)

Defines structure-preserving mappings between Worlds.

3.5.2 Lifting and Projection Operators

Enable Events and Knowledge to move across Worlds.


3.6 Geometric Realization Layer (Optional)

3.6.1 GeometricManifold

Represents spherical or hyperspherical realizations (S², Sⁿ).

3.6.2 CoordinateEmbedding

Maps polarity and context into geometric coordinates.

3.6.3 GeodesicPath

Represents optimal or typical semantic trajectories.


4. Integration of OAII and Open SGI

4.1 World-Relative Semantics

  • Event.worldRef → Wᵢ
  • Knowledge.worldRef → Wᵢ
  • Policy.worldScope → {Wᵢ}

All interpretation is world-relative.


4.2 Recognition Pipeline

  1. Sensor → Observation
  2. Observation → Feature Signal
  3. Feature + Episode → Event
  4. Event → World Interpretation
  5. Event → Knowledge Update
  6. Policy Evaluation → Agent Action

4.3 Governance and Ethics

Policies operate across Worlds and enforce:

  • privacy
  • proportionality
  • transparency
  • consent
  • safety

HarmonyMetrics inform long-term governance.


5. Event Recognition as Cognitive Subsystem

Event Recognition is treated as a bounded cognitive faculty within Open SGI.

Responsibilities:

  • Temporal pattern detection
  • Multi-modal fusion
  • Context-aware classification
  • Confidence estimation
  • Explanation generation

Event Recognition feeds higher-order reasoning without monopolizing cognition.


6. Reference Deployment Architecture

6.1 Edge Layer

  • OAII Device Nodes (Pi Zero / MCU)
  • Local sensing and normalization
  • Envelope transmission

6.2 Hub Layer

  • OAII/Open SGI Gateway (Pi 4/5)
  • Event fusion
  • Knowledge store
  • Policy enforcement

6.3 Coordination Layer

  • Agent federation
  • World synchronization
  • Interface services

7. Evolution Path

Phase 1: Interoperable Sensing

  • OAII core
  • Basic Events
  • Centralized Knowledge

Phase 2: Contextual Intelligence

  • Worlds
  • Polarity systems
  • Context modulation

Phase 3: Geometric Simulation

  • Manifold embeddings
  • Trajectory learning
  • Harmony optimization

Phase 4: Generalized SGI

  • Multi-world reasoning
  • Meta-policy learning
  • Self-modeling Agents

8. Conformance and Extensibility

Implementations may be:

  • OAII-conformant
  • OAII + SGI-extended
  • Domain-specialized

All extensions must:

  • preserve Envelope compatibility
  • expose Policies
  • support audit logs
  • declare World schemas

9. Closing Statement

This bridged specification establishes a clear pathway from interoperable autonomous systems (OAII) to semantically grounded, context-sensitive simulated general intelligence (Open SGI).

OAII ensures openness and governance.
Open SGI enables meaning, coherence, and growth.

Together, they form a unified foundation for responsible autonomous intelligence.

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