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flamehaven01/Rex-Sim-Universe-Lab

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Rex Sim Universe Lab

This repository hosts the blueprint and toy scaffolding for evaluating how computable or simulatable a universe might be using the REx Engine and NNSL TOE-Lab.

Included artifacts

  • sim_universe_blueprint.json: Standardized experiment/corpus schema covering Faizal MToE ideas, undecidable physics witnesses, MUH/CUH-inspired hypotheses, and energy/information constraints for REx+NNSL workflows.
  • docs/SimUniverseLabBlueprint.md: A one-stop scaffold that explains the SimUniverse Lab concept, mathematical model, YAML configuration samples, folder layout, and key code/Helm snippets.

Usage guide

  1. Choose witnesses and hypothesis clusters from corpus.clusters in the JSON blueprint.
  2. Build WorldSpec objects and run ToeQuery calls against the endpoints defined in experiment_schema.nnsl_binding.
  3. Aggregate ToeResult values via metrics_and_scoring to evaluate simulation plausibility, energy feasibility, and undecidability patterns.
  4. See docs/SimUniverseLabBlueprint.md for detailed configuration guidance, folder structure, and code snippets.

Toy code scaffold

  • src/nnsl_toe_lab/app.py: FastAPI TOE-Lab toy server providing /toe/world and /toe/query endpoints plus routing for spectral-gap and RG-flow witnesses.
  • src/nnsl_toe_lab/solvers/spectral_gap.py: 1D TFIM toy solver performing full diagonalization to measure the spectral gap.
  • src/rex/sim_universe/orchestrator.py: REx-side orchestrator that calls NNSL endpoints.
  • src/rex/core/stages/stage3_simuniverse.py: Example Stage-3 hook that creates a world, runs queries, and appends summaries to the pipeline payload.
  • configs/rex_simuniverse.yaml: Baseline configuration used by the Stage-3 example.

License

MIT License (see LICENSE for details).

About

Advanced simulation environment dedicated to the exploration of evolutionary algorithms, large-scale universe modeling, and sovereign agent interactions. It serves as the "Crucible" for testing hypotheses within the Flamehaven ecosystem, utilizing high-fidelity modeling to simulate complex emergent behaviors and verify architectural resilien

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