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Meta-Evolution Engine (MEE) — Public Reference Guide

Overview

The Meta-Evolution Engine (MEE) is the public reference component responsible for dynamic policy evaluation and feedback loop collection within the RCT Platform.

Architecture & Integration

MEE observes runtime execution telemetry and computes feedback vectors to ensure governance rules remain aligned with user intents across long-running agent workflows.

[Agent Execution Telemetry] ──▶ [MEE Feedback Observer] ──▶ [FDIA Safety Audit Log]

Key Features

  1. Deterministic Feedback Loop: Collects execution pass/fail signals to score intent alignment.
  2. Audit Ledger Logging: Emits SHA-256 cryptographic attestation hashes to RCTDB audit logs.
  3. Safe Parameter Boundaries: Ensures dynamic adjustments never violate constitutional safety rules (\(A=0\) Veto Gate).

Enterprise Scope Boundary

Proprietary auto-fine-tuning heuristics, reinforcement learning loops, and weight evolution pipelines run exclusively within the Private Enterprise Engine.