INTELLIGENCE Network - skenai/WILL GitHub Wiki
version: 2.0.0 date: 2025-03-04 type: system-doc status: public tags: [william, intelligence, network] related: [] changelog:
- version: 2.0.0
date: 2025-03-04
changes:
- "MAJOR: Switch to YAML frontmatter"
- "MAJOR: Enhanced metadata structure" references: []
- version: 1.0.0
date: 2025-03-03
changes:
- "MAJOR: Initial documentation" references: []
INTELLIGENCE Network
Overview
The INTELLIGENCE Network implements WILLIAM's pattern recognition and market intelligence through a three-stage architecture.
Core Components
1. Stage 1 (SKENAI)
[Raw] → [Initial] → [Basic]
↑ ↕ ↓
[Log] ↠[Process] ↠[Pattern]
- Raw pattern intake
- Initial processing
- Basic recognition
- Pattern categorization
- Preliminary intelligence
2. Stage 2 (SKENAI-Q)
[Deep] → [Quality] → [Validate]
↑ ↕ ↓
[Learn] ↠[Assess] ↠[Review]
- Pattern validation
- Quality assessment
- Intelligence protocols
- Technical review
- Network feedback
3. Stage 3 (SKENAI-R)
[Final] → [Deploy] → [Release]
↑ ↕ ↓
[Monitor] ↠[Secure] ↠[Track]
- Final verification
- Production readiness
- Pattern deployment
- Access management
- Network monitoring
4. AI Governance
Policy Framework
- Usage guidelines
- Ethics policies
- Safety protocols
- Quality standards
- Performance metrics
Control Systems
- Access management
- Resource allocation
- Usage monitoring
- Performance tracking
- Security enforcement
Compliance
- Standard adherence
- Policy enforcement
- Audit tracking
- Report generation
- Review processes
Technical Implementation
1. Infrastructure
[Computing Layer] → [Neural Layer] → [Governance Layer]
↑ ↕ ↓
[Data Layer] ↠[Processing Layer] ↠[Control Layer]
2. Integration Points
- API endpoints
- Data pipelines
- Model interfaces
- Control systems
- Monitoring tools
3. Management Tools
- Admin dashboard
- Monitoring system
- Control panel
- Analytics tools
- Debugging utilities
Quality Assurance
1. Performance Metrics
- Processing speed
- Model accuracy
- Resource efficiency
- Network latency
- Error rates
2. System Health
- Node monitoring
- Network status
- Resource usage
- Error tracking
- Health checks
3. Optimization
- Load balancing
- Resource allocation
- Cache management
- Network optimization
- Performance tuning
Security Features
1. Network Security
- Access control
- Data encryption
- Secure transmission
- Node authentication
- Intrusion detection
2. Model Protection
- Model encryption
- Access restrictions
- Version control
- Audit logging
- Backup systems
3. Governance Security
- Policy enforcement
- Compliance checking
- Access management
- Activity monitoring
- Incident response
Integration with SKENAI
1. Data Flow
[INTELLIGENCE] → [SKENAI] → [SKENAI-Q] → [SKENAI-R]
↑ ↕ ↕ ↓
[Models] ↠[Processing] ↠[Quality] ↠[Release]
2. Synchronization
- Real-time processing
- Model updates
- State management
- Error handling
- Performance optimization
3. Quality Control
- Input validation
- Model verification
- Output checking
- Performance monitoring
- Error tracking
Best Practices
1. Implementation
- Resource optimization
- Error handling
- Performance monitoring
- Security compliance
- Documentation maintenance
2. Development
- Code standards
- Testing procedures
- Documentation practices
- Version control
- Review processes
3. Operations
- Monitoring procedures
- Maintenance schedules
- Update processes
- Backup procedures
- Recovery plans
Getting Started
For implementation guidance:
- Review Technical Implementation
- Study System Architecture
- Understand Neural Networks
- Follow Best Practices
- Consult API Reference
Integration with NATURAL Framework
- Clean repository separation
- Natural pipeline flow
- Validator protection
- Interface standards
Pipeline API Integration
- /pipeline/submit - Entry point
- /pipeline/validate - Basic checks
- /pipeline/analyze - Efficiency (Q.1)
- /pipeline/patterns - Recognition (Q.2)
- /pipeline/status - State checks
- /pipeline/vote - Governance
Integration with Three-Graph Lattice
- Technical graph validation
- Economic resource optimization
- Quality metrics tracking