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
- Layered Architecture
OAII provides the interoperable autonomy substrate. Open SGI extends OAII with semantic, contextual, and geometric cognition. - Semantic Stability
Core meanings (Events, Knowledge, Policies) remain stable even as recognition and modeling evolve. - Transport and Platform Independence
All models operate independently of UART, USB, Wi‑Fi, Ethernet, or cloud services. - Inspectability and Governance
All reasoning and action pathways must be observable, auditable, and constrained by Policy. - 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
- Sensor → Observation
- Observation → Feature Signal
- Feature + Episode → Event
- Event → World Interpretation
- Event → Knowledge Update
- 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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