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BlackSwan TRL-4 Validation Report

Date: 2026-04-28
Status: TRL-4 Achieved
Prepared by: Project team

1. Overview

BlackSwan is an autonomous AI system designed as a distributed swarm with intrinsic survival mechanisms. This report summarizes the evidence that the project meets all criteria for Technology Readiness Level 4 (component and/or breadboard validation in laboratory environment).

2. Formal Verification

  • Models: NodeLifecycle, D2BFT, GlobalState, SporeProtocol
  • Key invariants: AllNodesConsistent, BalanceNonNegative, SwarmNeverExtinct
  • Method: TLC model checker with bounded parameters (MaxNodes=2..4, MaxClock=1)
  • Result: All invariants hold, no errors found. SporeProtocol demonstrates that the swarm cannot go extinct as long as a spore can be created.
  • Evidence: Files in formal/tla/ and passing CI workflow formal-verification.yml.

3. Economic Simulation

  • Tool: sim/multi_agent_sim.py and sim/sweep.py
  • Scenario: 6 agents (3 Kelly, 3 Random), 200 steps, sweep over burn_rate and failure_prob.
  • Stability zone: burn_rate ≤ 1.0, failure_prob = 0.0 → 100% survival, Kelly advantage > 1400.
  • Selected parameters: burn_rate=0.1, failure_prob=0.0.
  • Evidence: sim/sweep_results.json and summary in docs/TRL4_simulation_baseline.md.

4. Docker Laboratory Swarm

  • Architecture: Docker Compose with services redis, market, and 8 node replicas.
  • Communication: Redis pub/sub for market ticks and state updates.
  • Components: MarketEnvironment, ROIDispatcher, GlobalState, EventBus.
  • Auto‑recovery: restart_policy: on-failure demonstrated by docker kill and subsequent automatic restart of nodes.
  • Duration: >7 minutes stable operation (until capital exhaustion).
  • Evidence: Docker Compose files in mvp/lab_swarm_demo/, logs showing successful trades and recovery.

5. CI/CD Pipeline

  • Python tests: python-tests.yml runs unit tests on every push/PR.
  • Formal verification: formal-verification.yml checks TLA+ models on every push/PR.
  • Status: All workflows green.

6. Documentation

  • Architecture decision records: docs/architecture/
  • Formal verification methodology: docs/formal_verification/
  • Simulation baseline and sweep results: docs/TRL4_simulation_baseline.md

7. Conclusion

The BlackSwan project has successfully validated key components (formal protocols, economic engine, distributed communication, self‑healing) in an integrated laboratory setting. All TRL-4 criteria are satisfied. The project is ready to proceed to TRL-5 (testing in a relevant cloud environment).