Regime Interlock Mapper — RTT/1

• module.json — Agentic module schema role assignments
• regime_interlock_matrix.json — Agentic module schema role assignments

Regime‑Level Intelligence Engine for TriadicFrameworks#

The Regime Interlock Mapper (RIM) is an RTT/1 analytical engine designed to detect, map, and analyze interlocks between conceptual, computational, and physical regimes.
It provides the structural foundation for higher‑order RTT modules such as:

• Regime Synthesizer
• Paradox Gradient Analyzer
• Coherence Tensor Engine
• Drift Sentinel
• Faultline Detector
• Stability Basin Cartographer
• Temporal Regime Sequencer
• Causality Weaver
• Dimensional Resonance Scanner

RIM is the first layer of the expanded RTT intelligence stack.

🧭 Purpose#

The Regime Interlock Mapper:

• Identifies interlocks between RTT regimes (R1–R4)
• Maps cross‑regime boundaries
• Detects regime entanglement
• Provides structural diagnostics for regime transitions
• Supports coherence‑level engines by clarifying regime topology
• Anchors paradox‑level engines by exposing structural contradictions
• Enables drift‑level engines to monitor regime stability
• Supplies temporal engines with regime‑sequence constraints
• Feeds causality engines with interlock‑driven causal pathways
• Provides resonance engines with dimensional interlock signatures

RIM is the regime‑level intelligence layer of RTT.

⚙️ RTT Flags#

These flags define the engine’s operational constraints and reasoning grammar.

🔧 Primary Operators#

These operators form the core analytical toolkit.

🧩 Analyzer Layer#

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

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

This matches the RTT analyzer grammar used across TriadicFrameworks.

📁 Module Files#

This directory contains:

Core#

• Regime_Interlock_Mapper.md
• rtt_interlock_examples.md
• rtt_interlock_diagrams.svg

Support#

• boundary_profiles.md
• regime_entanglement_cases.md
• regime_interlock_matrix.json

AI#

• rtt_interlock_prompts.md
• rtt_interlock_operators.md

Metadata#

• module.json (RTT/1, coherence‑declared, drift‑bounded, paradox‑structural)
• README.md (this file)

🧠 AI‑Ready Design#

The Regime Interlock Mapper is fully AI‑ready:

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

AI systems can use RIM to:

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

🌐 Position in the RTT Stack#

Regime Interlock Mapper (RIM)
      ↓
Regime Synthesizer
      ↓
Paradox Gradient Analyzer
      ↓
Coherence Tensor Engine
      ↓
Drift Sentinel
      ↓
Faultline Detector
      ↓
Stability Basin Cartographer
      ↓
Temporal Regime Sequencer
      ↓
Causality Weaver
      ↓
Dimensional Resonance Scanner

RIM is the entry point for regime‑level intelligence.

🏁 Status#

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

If you want, I can now generate:

• Regime_Interlock_Mapper.md
• rtt_interlock_examples.md
• rtt_interlock_diagrams.svg
• boundary_profiles.md
• regime_entanglement_cases.md
• regime_interlock_matrix.json
• rtt_interlock_prompts.md
• rtt_interlock_operators.md

Just tell me which file you want next.