AGI Biospheric Corpus

1. Architecture Overview

The AGI Biospheric Corpus is a high-level relational architecture mapping the material, biological, and thermodynamic constraints essential to technical civilizations. It serves as a foundational world model for Artificial General Intelligence (AGI) systems, ensuring they operate within the physical boundaries of the Earth system.

To ensure data integrity and long-term availability, the project is legally deposited at the Bibliothèque Nationale de France (BNF). All datasets are archived with unique DOIs on Zenodo and versioned on Hugging Face for seamless integration into research pipelines.

2. The 100 Constraints Ontology

The project scales toward a comprehensive **100 Constraints Ontology**. These represent non-negotiable physical variables. The current deployment focuses on a **10-Domain Core**, formalized as machine-readable open data (JSON-LD) to facilitate direct ingestion by neural networks and symbolic AI models.

Core Hypothesis: Intelligence is a subsystem of the biosphere. Any intelligence model that treats material dependencies as "externalities" is fundamentally flawed and lacks long-term alignment with reality.

3. Relational Matrix (The 10-Domain Core)

The current public core is structured into ten primary nodes, each containing specific sub-constraints:

• 01. EnergyFlux, entropy, power density (✅ Active)
• 02. Fresh WaterHydrological cycles, thresholds (✅ Active)
• 03. Living SoilsMicrobial fertility, carbon sinks (✅ Active)
• 04. BiodiversityTrophic networks, stability (✅ Active)
• 05. ClimateInertia, radiative forcing (✅ Active)
• 06. OceanThermal pump, acidification (✅ Active)
• 07. MatterResource scarcity, extraction limits (✅ Active)
• 08. InformationSignal/Noise, compute entropy (✅ Active)
• 09. InfrastructureSystemic dependencies, fragility (✅ Active)
• 10. Human SystemsRelational response, real-world feedback (✅ Active)

4. Dependency Graph & Relational Logic

In this architecture, no constraint is an isolated variable. The **Relational Matrix** currently formalizes **52 direct interdependencies** between the core nodes. For instance, the Climate node is a function of Energy flux, Ocean heat absorption, and Biodiversity feedback loops.

For developers and system designers, this means modeling AGI requires a **multi-layered graph approach**. Degrading a single node (e.g., Living Soils) triggers cascading failures across the entire biospheric infrastructure, directly impacting the material possibility of computation itself.

5. Data Interoperability & Repositories

6. Roadmap & Scaling

The corpus is a living schema. Future updates include expanding the relational documentation, integrating high-resolution maps, and scaling the current core toward the full **100-constraint ontology**. The architecture is designed to remain backward-compatible as new biospheric variables are integrated into the graph.