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darksciencedivision-ctrl/README.md

Dark Science Division

Independent AI-systems research and engineering by Samuel Lawson. Local-first, deterministic, governed systems — evidence over confidence.

Sealed research (byte-verifiable)

  • TCAIN — trajectory-constrained adversarial intelligence nodes: governed multi-model reasoning under structured perturbation. Sealed v1.0.1; SHA256SUMS.txt + VERIFYING.md.
  • ATG — external adversarial supervision for long-horizon autonomous projects. Sealed v1.0.2; byte-verifiable.
  • CRA — cognitive resource allocation: adaptive cognitive tiering and task-comprehension handshakes. Research baseline v1.0.
  • Governed Concurrence — concurrence-not-consensus orchestration; predecessor to TCAIN §4.

Earlier research

Integration-Theorem era: emergent-ai-human-cooperation-thesis (canonical; the original February 2026 edition is preserved at emergent-cooperation-thesis), covenant-equilibrium, RRR_DUAL_CYCLE.

Product families (earlier generation)

Research papers are licensed under CC BY-NC-ND 4.0 (CC BY 4.0 where stated); code is under the Dark Science Division Dual License — free for non-commercial, academic, evaluation, and research use; commercial use by separate license. Contact: darksciencedivision@gmail.com

Popular repositories Loading

  1. emergent-ai-human-cooperation-thesis emergent-ai-human-cooperation-thesis Public

    Thesis: testing whether AI-human cooperation emerges through adversarial optimization without imposed constraints.

    2

  2. cognitive-resource-allocation cognitive-resource-allocation Public

    Cognitive Resource Allocation (CRA) — Adaptive Cognitive Tiering and Task-Comprehension Handshakes for stateful heterogeneous AI systems. Samuel Lawson, Dark Science Division.

    2 1

  3. sovereign-workspace-release sovereign-workspace-release Public

    Sovereign Workspace release worktree with full git history. Continuation of sovereign-production-workspace/workspace. Seal bf47000.

    Python 2

  4. praxis-engine praxis-engine Public

    Python runner and interface for the PRAXIS probabilistic risk analysis engine (commercial core).

    Python 1

  5. praxis-titan-p6 praxis-titan-p6 Public

    PRAXIS TITAN P6: mature risk baseline engine for deterministic, explainable risk scoring and lifecycle governance.

    Python 1

  6. praxis-mantis praxis-mantis Public

    PRAXIS MANTIS: budgeted planning and constraint enforcement layer driven by probabilistic risk inputs.

    1