Deterministic, auditable prototype of the "Autonomous Invariant Intelligence" loop. It targets decidable domains (propositional logic) to guarantee zero-entropy outputs via a Z3 oracle.
This project operates under the Constitution of a Deterministic Assistant (CDA-v1.0), establishing transparent operational boundaries for AI systems.
Core Principles:
- 🔍 Transparency: Glass Box Mandate - All operations are auditable
- ⚙️ Determinism: Predictable Tool Mandate - No autonomous agency
- 🤝 Subservience: Tool-in-Hand Mandate - Human authority paramount
See .github/CONSTITUTION.md for full constitutional text and .github/COMPLIANCE.md for implementation details.
- Deterministic proposal loop (no sampling)
- Hamiltonian-style barrier on potential energy (V = 1 - coherence)
- Z3-backed coherence oracle for tautology checking
- Immutable JSONL audit ledger of every state transition
pip install -r requirements.txt
python AlexisDiamondEmpire.py --symbols p qOutputs the converged candidate and writes an audit log to audit-ledger.jsonl.
- Propose a candidate formula deterministically from a fixed list.
- Evaluate coherence via the oracle (1.0 if tautology; 0.0 otherwise).
- Compute potential energy
V = 1 - coherence. - Hamiltonian filter accepts if
V <= epsilon; otherwise transmute to the next candidate. - Every step is written to the append-only ledger for reproducibility.
- Add more candidates in
AlexisDiamondEmpire._default_candidates. - Adjust
epsilonormax_stepsvia CLI flags. - Swap the oracle to another decidable domain by implementing
InvariantOracle.coherence.
- Python 3.11+
- z3-solver (see
requirements.txt)