MDAG Overview - skenai/WILL GitHub Wiki

version: 2.1.0 date: 2025-03-15 type: research-doc status: public tags: [william, mdag, overview, research, theoretical] related: [Research-Disclaimer, Technical-Implementation, Network-Architecture] changelog:

  • version: 2.1.0 date: 2025-03-15 changes:
    • "MAJOR: Enhanced research clarity"
    • "MAJOR: Strengthened theoretical foundation"
    • "MAJOR: Added research validation requirements" references:
    • "Research-Disclaimer"
  • 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: []

IMPORTANT RESEARCH NOTICE: This documentation describes a theoretical research project under active development. All features, components, and capabilities discussed here are research objectives that require extensive testing and validation. All network architectures, growth patterns, and system behaviors are proposed models pending practical implementation.

MDAG Research Overview

Research Overview

The MDAG (Mycelial DAG) research project investigates theoretical approaches to implementing WILLIAM's network topology and growth patterns through a proposed three-stage architecture. All components require thorough validation.

Research Components

1. Stage 1 Research (SKENAI)

[Raw Research] → [Initial Study] → [Basic Analysis]
       ↓              ↓               ↓
[Log Research] → [Process Study] → [Pattern Analysis]
  • Network intake research
  • Topology study framework
  • Validation research model
  • Category analysis methods
  • Growth research patterns
  • Implementation validation

2. Stage 2 Research (SKENAI-Q)

[Deep Research] → [Quality Study] → [Validation]
       ↓              ↓               ↓
[Track Research] → [Assessment] → [Review Study]
  • Network validation research
  • Quality assessment studies
  • Growth research protocols
  • Technical review framework
  • System feedback analysis
  • Implementation validation

3. Stage 3 Research (SKENAI-R)

[Final Research] → [Deploy Study] → [Release Analysis]
       ↓              ↓               ↓
[Monitor Research] → [Security] → [Track Study]
  • Verification research model
  • Production readiness studies
  • Deployment research framework
  • Access research methodology
  • Monitoring research model
  • Implementation validation

Research Features

1. Network Research Structure

Research Properties:
  - Decentralized mesh topology studies
  - Organic expansion research
  - Self-healing connection research
  - Load balancing studies
  - Implementation validation

2. Growth Research Patterns

Research Patterns:
  - Adaptive routing studies
  - Resource optimization research
  - Network resilience analysis
  - Scaling research framework
  - Implementation validation

3. Integration Research Points

Research Components:
  - Proposal system studies
  - Value ranking research
  - Pattern recognition analysis
  - Governance research framework
  - Implementation validation

Research Benefits

  1. Scalability Research

    • Theoretical capacity: 100k+ proposals (requires validation)
    • Resource utilization studies
    • Load distribution research
    • Implementation verification

  2. Resilience Research

    • Self-healing research model
    • Redundancy studies
    • Fault tolerance research
    • Implementation validation

  3. Optimization Research

    • Resource allocation studies
    • Data propagation research
    • Network overhead analysis
    • Implementation verification

Research Guidelines

1. Integration Research

/**
 * Research Notice: This interface represents a theoretical
 * configuration model that requires thorough validation.
 */
interface MDAGResearchConfig {
  networkType: string;      // Research parameter
  scalingFactor: number;    // Theoretical value
  optimizationLevel: number; // Research metric
}

2. Research Best Practices

  • Growth pattern studies
  • Health monitoring research
  • Metrics research framework
  • Optimization research model
  • Implementation validation

Security Research

1. Access Research

  • Control research model
  • Integrity study framework
  • Validation research methods
  • Implementation verification

2. Communication Research

  • Protocol research studies
  • Channel security analysis
  • Encryption research model
  • Implementation validation

Research Components

  • GFORCE Research Framework
  • Pattern Recognition Studies
  • Value Ranking Research
  • Governance Research Model

Research Implementation Framework

1. NATURAL Research Integration

  • Repository research separation
  • Pipeline research flow
  • Validator research protection
  • Interface research standards
  • Implementation validation

2. Pipeline Research Integration

  • /pipeline/submit - Research entry
  • /pipeline/validate - Research checks
  • /pipeline/analyze - Research efficiency
  • /pipeline/patterns - Research recognition
  • /pipeline/status - Research state
  • /pipeline/vote - Research governance

3. Three-Graph Research Integration

  • Technical research validation
  • Resource research optimization
  • Metrics research framework
  • Implementation verification

Contact Information

  • Research Team: [research]
  • Development: [dev]
  • Documentation: [docs]
  • Support: [support]

A Note to Our Family

While maintaining our rigorous research foundation, we recognize that William's strength comes from bringing people together. As a family-focused business, we:

  • Value research integrity
  • Share verified insights
  • Support each other's growth
  • Build trust through honesty
  • Win through excellence

Remember: While we operate as a family business, our foundation is built on rigorous research and validation. Every feature and capability represents ongoing research that requires thorough testing before practical implementation.