proffesor-for-testing__agentic-qe/docs/implementation/specs/SPEC-047-A-mincut-architecture.md

SPEC-047-A: MinCut Architecture

Field	Value
Specification ID	SPEC-047-A
Parent ADR	ADR-047
Version	1.0
Status	Implemented
Last Updated	2026-01-17
Author	Architecture Team

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Overview

Defines the architecture for integrating RuVector MinCut patterns into AQE v3, including integration points with Queen Coordinator, 12 DDD domains, GOAP Planner, and Dream Engine.

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Specification Details

Section 1: RuVector MinCut Patterns

Pattern	Performance	Core Capability
Strange Loop	~50us updates	Self-observation -> Model -> Decide -> Act cycle
Morphogenetic Networks	O(log n) scaling	Bio-inspired growth via signal diffusion
Temporal Attractors	Real-time	Networks evolving toward stable states
Causal Discovery	STDP-based	Granger causality for root cause identification
Time Crystal Coordination	Self-sustaining	Periodic patterns without external schedulers
Neural Optimizer	100x faster	Hybrid ML + exact algorithms

Section 2: Integration Architecture

+----------------------------------------------------------------+
|                     AQE v3 + MinCut Architecture                |
+----------------------------------------------------------------+
|                                                                 |
|  +----------------------------------------------------------+  |
|  |                   Queen Coordinator                       |  |
|  |                   (ADR-008)                               |  |
|  |  +-----------------------------------------------------+  |  |
|  |  |  MinCut Health Monitor (P0)                         |  |  |
|  |  |  - Swarm topology graph                             |  |  |
|  |  |  - Real-time MinCut calculation                     |  |  |
|  |  |  - Connectivity threshold alerts                    |  |  |
|  |  +-----------------------------------------------------+  |  |
|  |                          |                                |  |
|  |  +-----------------------------------------------------+  |  |
|  |  |  Strange Loop Self-Healer (P1)                      |  |  |
|  |  |  - SwarmObserver (observe topology)                 |  |  |
|  |  |  - SelfModel (predict weaknesses)                   |  |  |
|  |  |  - HealingController (spawn agents)                 |  |  |
|  |  +-----------------------------------------------------+  |  |
|  +----------------------------------------------------------+  |
|                              |                                  |
|           +------------------+------------------+               |
|           v                  v                  v               |
|  +------------+    +------------+    +------------+             |
|  | Test Gen   |    | Test Exec  |    | Coverage   |             |
|  | Domain     |    | Domain     |    | Domain     |             |
|  |            |    |            |    |            |             |
|  | Morpho-    |    | Time       |    | Causal     |             |
|  | genetic    |    | Crystal    |    | Discovery  |             |
|  | Growth (P3)|    | Sched (P4) |    | (P2)       |             |
|  +------------+    +------------+    +------------+             |
|                              |                                  |
|  +----------------------------------------------------------+  |
|  |                    GOAP Planner (ADR-046)                 |  |
|  |  +-----------------------------------------------------+  |  |
|  |  |  Neural Plan Optimizer (P5)                         |  |  |
|  |  |  - Q-learning for action costs                      |  |  |
|  |  |  - Replay buffer for plan improvement               |  |  |
|  |  +-----------------------------------------------------+  |  |
|  +----------------------------------------------------------+  |
|                              |                                  |
|  +----------------------------------------------------------+  |
|  |                   Dream Engine (ADR-046)                  |  |
|  |  +-----------------------------------------------------+  |  |
|  |  |  Dream x Strange Loop Meta-Learning (P6)            |  |  |
|  |  |  - Hypothetical scenario generation                 |  |  |
|  |  |  - Strange Loop hypothesis testing                  |  |  |
|  |  |  - Temporal Attractor convergence                   |  |  |
|  |  +-----------------------------------------------------+  |  |
|  +----------------------------------------------------------+  |
|                                                                 |
+----------------------------------------------------------------+

Section 3: Key Algorithms

MinCut Calculation

// Approximate min-cut using minimum weighted degree
function approxMincut(graph: SwarmGraph): number {
  return Math.min(...graph.vertices.map(v => graph.weightedDegree(v)));
}

Strange Loop Cycle

// Observe -> Model -> Decide -> Act
function think(swarm: MetaSwarm): boolean {
  // Step 1: Observe self
  const mincut = swarm.graph.approxMincut();
  const weakVertices = swarm.graph.findWeakVertices();

  // Step 2: Update self-model
  swarm.selfModel.update(mincut, weakVertices);

  // Step 3: Decide reorganization
  const action = swarm.decide();

  // Step 4: Apply action
  swarm.applyAction(action);

  return swarm.checkConvergence();
}

Morphogenetic Growth

// Bio-inspired growth rules
function grow(node: TestNode, signal: number): GrowthAction {
  const degree = node.connections.length;

  // Low connectivity -> spawn new test
  if (signal > 0.5 && degree < 3) return { type: 'spawn' };

  // High degree -> branch/specialize
  if (signal > 0.6 && degree > 5) return { type: 'branch' };

  // Weak cut -> reinforce
  if (signal > 0.4 && node.localMincut < 2.0) return { type: 'reinforce' };

  return { type: 'stable' };
}

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File Structure

v3/src/coordination/mincut/
+-- mincut-calculator.ts      # Graph algorithms
+-- mincut-health-monitor.ts  # Queen integration
+-- strange-loop-healer.ts    # Self-healing controller
+-- index.ts

v3/src/domains/test-generation/morphogenetic/
+-- growth-signals.ts         # Signal diffusion
+-- test-spawner.ts           # Organic test creation
+-- index.ts

v3/src/domains/defect-intelligence/causal/
+-- causal-graph.ts           # Failure propagation
+-- root-cause-finder.ts      # STDP-enhanced discovery
+-- index.ts

v3/src/planning/neural-optimizer/
+-- q-value-planner.ts        # RL for GOAP costs
+-- plan-replay-buffer.ts     # Experience replay
+-- index.ts

---

Validation Rules

Rule ID	Description	Severity
SPEC-047-A-001	MinCut calculation must complete in <50us	Error
SPEC-047-A-002	Strange Loop cycle must complete in <100ms	Error
SPEC-047-A-003	All modules must have corresponding tests	Warning

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Related Specifications

Spec ID	Title	Relationship
SPEC-047-B	Phase Implementation	Implementation details
SPEC-047-C	Performance Metrics	Achieved metrics

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Changelog

Version	Date	Author	Changes
1.0	2026-01-17	Architecture Team	Initial specification

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References

• Parent ADR
• RuVector MinCut Examples
• Strange Loop Implementation