Architecture
At its embryonic stage, Legion is structured as a multi-layered computational organism:
Ingestion Layer
Captures heterogeneous inputs (signals, data streams, citizen reports, algorithmic contributions).
Standardizes data into interoperable schemas using ontology-based representations.
Validation Layer
Employs adversarially-trained AI models to assign confidence scores to each contribution.
Integrates anomaly detection, redundancy elimination, and cross-source verification.
Classifies inputs into Accepted / Rejected / Pending.
Representation Layer
Constructs knowledge graphs linking entities, events, and temporal dynamics.
Maintains epistemic traceability — every validated contribution is cryptographically anchored.
Foresight Layer
Generates probabilistic models of potential futures.
Applies Bayesian inference, agent-based simulations, and game-theoretic models to assess strategic scenarios.
Legion is therefore not a static database, but a dynamic epistemic engine, continuously refining its model of the world.
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