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Deterministic, auditable prototype of the Autonomous Invariant Intelligence loop. Targets decidable domains with propositional logic for zero-entropy outputs via Z3 oracle. Python-based AI framework.

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Alexis Diamond Empire Prototype

Deterministic, auditable prototype of the "Autonomous Invariant Intelligence" loop. It targets decidable domains (propositional logic) to guarantee zero-entropy outputs via a Z3 oracle.


Constitutional Framework

CDA Compliant Constitution

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.


Features

  • 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

Quickstart

pip install -r requirements.txt
python AlexisDiamondEmpire.py --symbols p q

Outputs the converged candidate and writes an audit log to audit-ledger.jsonl.

How it works

  1. Propose a candidate formula deterministically from a fixed list.
  2. Evaluate coherence via the oracle (1.0 if tautology; 0.0 otherwise).
  3. Compute potential energy V = 1 - coherence.
  4. Hamiltonian filter accepts if V <= epsilon; otherwise transmute to the next candidate.
  5. Every step is written to the append-only ledger for reproducibility.

Extending

  • Add more candidates in AlexisDiamondEmpire._default_candidates.
  • Adjust epsilon or max_steps via CLI flags.
  • Swap the oracle to another decidable domain by implementing InvariantOracle.coherence.

Dependencies

  • Python 3.11+
  • z3-solver (see requirements.txt)

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Deterministic, auditable prototype of the Autonomous Invariant Intelligence loop. Targets decidable domains with propositional logic for zero-entropy outputs via Z3 oracle. Python-based AI framework.

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