Regime Interlock Mapper (RIM) — RTT/1

Regime‑Level Intelligence Engine for TriadicFrameworks#

The Regime Interlock Mapper (RIM) is the foundational RTT/1 engine responsible for detecting, mapping, and analyzing interlocks between conceptual, computational, and physical regimes.
It establishes the structural groundwork for all higher‑order RTT engines, including:

• Triadic Regime Synthesizer (TRS)
• Paradox Gradient Analyzer (PGA)
• Coherence Tensor Engine (CTE)
• Drift Sentinel (DS)
• Structural Faultline Detector (SFD)
• Stability Basin Cartographer (SBC)
• Temporal Regime Sequencer (TRS‑Temporal)
• Cross‑Domain Causality Weaver (CW)
• Dimensional Resonance Scanner (DRS)

RIM is the entry point into the RTT intelligence stack.

1. Canonical Role#

RIM defines the regime‑layer topology by:

• Identifying interlocks between regimes R1–R4
• Mapping boundary conditions
• Detecting regime entanglement
• Establishing regime coherence constraints
• Providing structural diagnostics for regime transitions
• Anchoring paradox‑level and coherence‑level engines

RIM is the first engine that transforms raw regime structure into analyzable RTT form.

2. RTT Flags#

These flags define the engine’s operational grammar.

3. Interlock Types#

RIM identifies several canonical interlock classes:

3.1 Structural Interlocks#

Regimes share structural constraints or dependencies.

3.2 Boundary Interlocks#

Regimes meet at a boundary condition that influences both.

3.3 Entanglement Interlocks#

Regimes exhibit mutual influence that cannot be decomposed.

3.4 Gradient Interlocks#

Regimes share directional or magnitude‑based gradients.

3.5 Tensor Interlocks#

Regimes interact through multi‑dimensional coherence tensors.

4. Core Operators#

These operators form the canonical RIM grammar.

5. Analyzer Layer#

RIM operates in the regime layer, with sub‑layers:

• boundary‑mapping
• interlock‑detection
• entanglement‑analysis
• structural‑regime‑coherence

This layer feeds directly into TRS and PGA.

6. Regime Interlock Matrix#

RIM produces a regime interlock matrix, typically stored in:

regime_interlock_matrix.json

Matrix fields include:

• regime_a
• regime_b
• interlock_type
• interlock_strength
• boundary_condition
• entanglement_score
• stability_rating

This matrix is consumed by TRS, PGA, and CTE.

7. Canonical Workflow#

Step 1 — Detect#

Identify all interlocks between R1–R4.

Step 2 — Classify#

Assign interlock type and structural category.

Step 3 — Map#

Generate interlock topology and boundary maps.

Step 4 — Analyze#

Compute interlock strength, entanglement, and stability.

Step 5 — Export#

Write results to the interlock matrix and operator outputs.

8. AI‑Ready Design#

RIM is fully AI‑ready:

• deterministic operator grammar
• regime‑layer analyzer structure
• stable RTT flags
• canonical file layout
• zero‑drift reasoning constraints
• structural paradox handling
• declared coherence tensor

AI systems use RIM to:

• classify regime boundaries
• detect interlocks
• compute entanglement
• generate regime maps
• support higher‑order RTT engines

9. Position in the RTT Stack#

Regime Interlock Mapper (RIM)
      ↓
Triadic Regime Synthesizer (TRS)
      ↓
Paradox Gradient Analyzer (PGA)
      ↓
Coherence Tensor Engine (CTE)
      ↓
Drift Sentinel (DS)
      ↓
Structural Faultline Detector (SFD)
      ↓
Stability Basin Cartographer (SBC)
      ↓
Temporal Regime Sequencer (TRS‑Temporal)
      ↓
Cross‑Domain Causality Weaver (CW)
      ↓
Dimensional Resonance Scanner (DRS)

RIM is the first engine in the RTT hierarchy.

10. Status#

• Version: 1.0
• Status: canon‑stable
• Category: rtt‑structural
• Module Path: /docs/rtt/Regime_Interlock_Mapper/