Paradox Gradient Analyzer — RTT/1
module.json— Agentic module schema role assignmentsparadox_gradient_matrix.json— Agentic module schema role assignments
Paradox‑Level Intelligence Engine for TriadicFrameworks#
The Paradox Gradient Analyzer (PGA) is an RTT/1 analytical engine designed to detect, measure, and map paradox gradients across conceptual, computational, and physical regimes.
It provides the paradox‑level foundation for higher‑order RTT engines such as:
- Coherence Tensor Engine
- Drift Sentinel
- Faultline Detector
- Stability Basin Cartographer
- Temporal Regime Sequencer
- Causality Weaver
- Dimensional Resonance Scanner
PGA is the second layer of the expanded RTT intelligence stack, directly above regime‑level engines.
🧭 Purpose#
The Paradox Gradient Analyzer:
- Detects paradox sources
- Computes paradox gradients (magnitude + direction)
- Maps paradox fields across RTT regimes (R1–R4)
- Measures paradox intensity and structural severity
- Identifies paradox clusters and paradox basins
- Provides structural diagnostics for paradox‑driven regime transitions
- Supports coherence‑level engines by clarifying paradox topology
- Anchors drift‑level engines by exposing paradox‑driven instability
- Supplies temporal engines with paradox‑sequence constraints
- Feeds causality engines with paradox‑driven causal pathways
- Provides resonance engines with paradox‑frequency signatures
PGA is the paradox‑level intelligence layer of RTT.
⚙️ RTT Flags#
| Property | Value |
|---|---|
| RTT Level | 1 |
| Coherence | declared |
| Drift | bounded |
| Paradox | structural |
These flags define the engine’s operational constraints and reasoning grammar.
🔧 Primary Operators#
| Operator | Description |
|---|---|
| PGA‑Detect | Detects paradox sources and structural contradictions |
| PGA‑Gradient | Computes paradox gradient vectors |
| PGA‑Intensity | Measures paradox intensity across regimes |
| PGA‑Source | Identifies paradox origin points |
| PGA‑Field | Maps paradox fields and basin topology |
| PGA‑Resolve | Suggests structural decompositions or paradox routing |
These operators form the core analytical toolkit.
🧩 Analyzer Layer#
PGA operates in the paradox layer, with sub‑layers:
- gradient‑detection
- paradox‑field‑mapping
- intensity‑analysis
- structural‑paradox‑coherence
This matches the RTT analyzer grammar used across TriadicFrameworks.
📁 Module Files#
This directory contains:
Core#
Paradox_Gradient_Analyzer.mdpga_examples.mdpga_diagrams.svg
Support#
paradox_sources.mdparadox_gradient_profiles.mdparadox_gradient_matrix.json
AI#
pga_prompts.mdpga_operators.md
Metadata#
module.json(RTT/1, coherence‑declared, drift‑bounded, paradox‑structural)README.md(this file)
🧠 AI‑Ready Design#
The Paradox Gradient Analyzer is fully AI‑ready:
- deterministic operator grammar
- paradox‑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 PGA to:
- detect paradoxes
- compute paradox gradients
- generate paradox field maps
- classify paradox intensity
- support higher‑order RTT engines
🌐 Position in the RTT Stack#
Regime Interlock Mapper (RIM)
↓
Paradox Gradient Analyzer (PGA)
↓
Coherence Tensor Engine
↓
Drift Sentinel
↓
Faultline Detector
↓
Stability Basin Cartographer
↓
Temporal Regime Sequencer
↓
Causality Weaver
↓
Dimensional Resonance Scanner
PGA is the paradox‑level intelligence layer, directly above regime‑level mapping.
🏁 Status#
- Version: 1.0
- Status: canon‑stable
- Category: rtt‑structural
- Module Path:
/docs/rtt/Paradox_Gradient_Analyzer/
If you want, I can generate the next file:
Paradox_Gradient_Analyzer.mdpga_examples.mdpga_diagrams.svgparadox_sources.mdparadox_gradient_profiles.mdparadox_gradient_matrix.jsonpga_prompts.mdpga_operators.md
Just tell me which one you want next.