The White Book
ArcheoMeta
Open AI-ecosystem of fundamental level
1. Introduction
ArcheoMeta is an open, self-regulating AI ecosystem designed to create a sustainable digital foundation. The system aims to balance coherence, diversity, sustainability and efficiency in distributed intelligent networks.
2. System architecture
2.1 Main components
• AI-nodes (LLM, RL, GNN, generative and analytical models)
• ArcheoNode - Local node controller
• Coherence field — Embedded and metric exchange layer
• ArcheoCore — meta-control regulator
2.2 Global functionality
Φ_global = αC − βH − γD + δV − λR
where:
C is coherence
H - entropy
D - Conflict
V - Diversity
R - Fragility of the system
3. Cycle of evolution
1. Local Node Training
2. Publication of metrics
3. Aggregation of global functionality
4. Redeployment
5. Sustainability and diversity control
6. New cycle
4. Trust Protocol and Security
• Cryptographic signature metrics
• Reputation system of nodes
• Anti-monopolization mechanisms
• Emergency Stabilizer
5. Application
• Decentralized AI-platforms
• Scientific distributed computing
• Digital economies
• Simulation of complex systems
6. Architectural scheme
7. Conclusion
ArcheoMeta is a new generation of digital infrastructure combining decentralization, evolutionary adaptation and algorithmic transparency.