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Coherence Engine Domain

v3/docs/ddd/coherence-engine/README.md

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Coherence Engine Domain

Overview

The Coherence Engine domain provides mathematical AI interpretability capabilities for Claude Flow V3 through the prime-radiant plugin. It enables rigorous coherence validation, spectral stability analysis, and causal reasoning using advanced mathematical frameworks including Sheaf Cohomology, Spectral Graph Theory, and Do-Calculus.

Strategic Design

Domain Vision

Ensure mathematical coherence and stability across all AI operations through rigorous validation gates that prevent contradictions, detect hallucinations, and verify multi-agent consensus.

Core Subdomains

Coherence Engine Domain
├── Coherence Validation (Core)       # Sheaf Laplacian contradiction detection
├── Spectral Analysis (Core)          # Stability and clustering analysis
├── Causal Inference (Supporting)     # Do-calculus interventional queries
├── Consensus Verification (Core)     # Multi-agent agreement validation
├── Topology Analysis (Supporting)    # Quantum topology features
└── Type Theory (Generic)             # HoTT proofs and verification

Subdomain Classification

SubdomainTypeComplexityBusiness Value
Coherence ValidationCoreHighCritical
Spectral AnalysisCoreHighHigh
Causal InferenceSupportingHighMedium
Consensus VerificationCoreMediumCritical
Topology AnalysisSupportingHighMedium
Type TheoryGenericHighLow

Context Map

┌─────────────────────────────────────────────────────────────────────────────────┐
│                           Coherence Engine Domain                                │
├─────────────────────────────────────────────────────────────────────────────────┤
│                                                                                  │
│                        ┌─────────────────────────┐                               │
│                        │   Coherence Gate        │                               │
│                        │   (Central Validator)   │                               │
│                        └───────────┬─────────────┘                               │
│                                    │                                             │
│        ┌───────────────────────────┼───────────────────────────┐                 │
│        │                           │                           │                 │
│        ▼                           ▼                           ▼                 │
│  ┌───────────────┐         ┌───────────────┐         ┌───────────────┐          │
│  │ Cohomology    │         │ Spectral      │         │ Causal        │          │
│  │ Engine        │         │ Engine        │         │ Engine        │          │
│  ├───────────────┤         ├───────────────┤         ├───────────────┤          │
│  │ • Sheaf       │         │ • Eigenvalue  │         │ • Do-calculus │          │
│  │   Laplacian   │         │   computation │         │ • Confounders │          │
│  │ • Energy      │         │ • Spectral    │         │ • Backdoor    │          │
│  │   calculation │         │   gap         │         │   paths       │          │
│  └───────────────┘         └───────────────┘         └───────────────┘          │
│        │                           │                           │                 │
│        └───────────────────────────┼───────────────────────────┘                 │
│                                    │                                             │
│                                    ▼                                             │
│                        ┌─────────────────────────┐                               │
│                        │   Supporting Services   │                               │
│                        ├─────────────────────────┤                               │
│                        │ • Quantum Engine        │                               │
│                        │ • Category Engine       │                               │
│                        │ • HoTT Engine           │                               │
│                        └─────────────────────────┘                               │
│                                                                                  │
└─────────────────────────────────────────────────────────────────────────────────┘
                                     │
                    Integration with Claude Flow V3
                                     │
        ┌────────────────────────────┼────────────────────────────┐
        │                            │                            │
        ▼                            ▼                            ▼
┌───────────────┐          ┌───────────────┐          ┌───────────────┐
│ Memory        │          │ Coordination  │          │ Security      │
│ Domain (V3)   │          │ Domain (V3)   │          │ Domain (V3)   │
├───────────────┤          ├───────────────┤          ├───────────────┤
│ Shared Kernel │          │ Shared Kernel │          │ Conformist    │
│ (Pre-storage  │          │ (Consensus    │          │ (Input        │
│  coherence    │          │  verification)│          │  validation)  │
│  gate)        │          │               │          │               │
└───────────────┘          └───────────────┘          └───────────────┘

Integration Relationships

Coherence ContextV3 DomainRelationshipDescription
Coherence ValidationMemoryShared KernelPre-storage coherence gate
Spectral AnalysisCoordinationShared KernelSwarm stability metrics
Consensus VerificationHive-MindShared KernelMathematical consensus check
Causal InferenceSecurityConformistAttack pattern analysis
Topology AnalysisMemoryCustomer-SupplierVector cluster analysis

Bounded Contexts

1. Coherence Validation Context

Responsibility: Detect contradictions using Sheaf Laplacian energy

Core Concepts:

  • Sheaf Laplacian: Mathematical operator measuring local-to-global consistency
  • Coherence Energy: Scalar value (0=coherent, 1=contradictory)
  • Violation Detection: Identification of specific contradictory elements

Ubiquitous Language:

  • Coherent: Energy < 0.3, no significant contradictions
  • Warning Zone: Energy 0.3-0.7, minor inconsistencies
  • Contradictory: Energy > 0.7, major contradictions
  • Coherence Gate: Validation checkpoint before storage

Key Operations:

typescript
// Check coherence of vector set
checkCoherence(vectors: Float32Array[]): CoherenceResult

// Validate memory entry against context
validate(entry: MemoryEntry, context: MemoryEntry[]): CoherenceValidation

// Batch validation with progressive context
validateBatch(entries: MemoryEntry[]): CoherenceValidation[]

2. Spectral Analysis Context

Responsibility: Analyze stability using spectral graph theory

Core Concepts:

  • Eigenvalues: Characteristic values of adjacency matrix
  • Spectral Gap: Difference between first and second eigenvalues
  • Stability Index: Aggregate stability measure

Ubiquitous Language:

  • Spectrally Stable: Positive spectral gap > 0.1
  • Clustering Tendency: Low second eigenvalue indicates clusters
  • Connectivity: First eigenvalue indicates overall connectivity

Key Operations:

typescript
// Compute eigenvalues of adjacency matrix
computeEigenvalues(adjacencyMatrix: Float32Array): Float32Array

// Analyze stability of a system
analyzeSpectral(adjacencyMatrix: Float32Array): SpectralResult

// Detect clustering patterns
detectClusters(adjacencyMatrix: Float32Array): ClusterResult

3. Causal Inference Context

Responsibility: Do-calculus based causal reasoning

Core Concepts:

  • Causal Graph: DAG representing causal relationships
  • Intervention: do(X=x) operator for causal queries
  • Confounders: Variables affecting both treatment and outcome
  • Backdoor Paths: Non-causal paths creating spurious correlation

Ubiquitous Language:

  • Treatment: Intervention variable
  • Outcome: Effect variable to measure
  • Causal Effect: True effect of intervention (vs correlation)
  • Valid Intervention: No unblocked backdoor paths

Key Operations:

typescript
// Estimate causal effect
estimateEffect(treatment: string, outcome: string, graph: CausalGraph): number

// Identify confounding variables
identifyConfounders(treatment: string, outcome: string, graph: CausalGraph): string[]

// Find backdoor paths
findBackdoorPaths(treatment: string, outcome: string, graph: CausalGraph): string[][]

4. Consensus Verification Context

Responsibility: Mathematical validation of multi-agent agreement

Core Concepts:

  • Agent State Vectors: Embedding representations of agent positions
  • Agreement Ratio: Fraction of agents in consensus
  • Coherence Check: Cross-agent consistency validation

Ubiquitous Language:

  • Consensus Achieved: Agreement ratio > threshold AND coherent
  • Verified Consensus: Mathematically validated agreement
  • Byzantine Tolerance: Resilience to faulty agents

Key Operations:

typescript
// Verify consensus mathematically
verifyConsensus(agentStates: AgentState[]): ConsensusVerification

// Check vote coherence
checkVoteCoherence(votes: Vote[]): CoherenceResult

// Analyze agreement patterns
analyzeAgreement(agentStates: AgentState[]): AgreementAnalysis

5. Topology Analysis Context

Responsibility: Quantum topology for structural analysis

Core Concepts:

  • Betti Numbers: Topological invariants (b0=components, b1=loops, b2=voids)
  • Persistence Diagram: Birth-death pairs of topological features
  • Homology Classes: Equivalence classes of cycles

Ubiquitous Language:

  • Connected Components: Betti number b0
  • Cycles/Loops: Betti number b1
  • Voids/Cavities: Betti number b2
  • Persistent Feature: Long-lived topological structure

Key Operations:

typescript
// Compute Betti numbers
computeBettiNumbers(points: Float32Array[], dimension: number): number[]

// Generate persistence diagram
computePersistenceDiagram(points: Float32Array[]): [number, number][]

// Count homology classes
countHomologyClasses(points: Float32Array[], dimension: number): number

6. Type Theory Context

Responsibility: Homotopy Type Theory proofs and verification

Core Concepts:

  • Type: Classification of values
  • Proof: Evidence of proposition truth
  • Normal Form: Canonical representation of term

Ubiquitous Language:

  • Type Judgment: Statement that term has a type
  • Proof Verification: Checking proof validity
  • Type Inference: Deriving type from term structure

Key Operations:

typescript
// Verify a proof
verifyProof(proposition: string, proof: string): boolean

// Infer type of a term
inferType(term: string): string

// Normalize a term
normalize(term: string): string

Engine Inventory

Total: 6 Mathematical Engines

EnginePurposePerformance
CohomologyEngineSheaf Laplacian coherence<5ms per check
SpectralEngineEigenvalue stability<20ms for 100x100
CausalEngineDo-calculus inference<10ms per query
QuantumEnginePersistent homology<50ms per computation
CategoryEngineFunctor/morphism ops<5ms per operation
HottEngineType theory proofs<10ms per verification

Memory Namespaces

All Coherence Engine data is stored under the pr/ namespace prefix:

NamespacePurposeDescription
pr/coherence-checksValidation historyRecords of coherence validations
pr/stability-metricsStability dataSwarm stability measurements
pr/causal-modelsCausal graphsStored causal relationship models
pr/topology-featuresTopological dataComputed topological features

Integration Points

Memory Domain

  • Hook: pre-memory-store - Coherence gate before storage
  • Service: CoherentMemoryService - Extended memory with coherence

Hive-Mind Domain

  • Hook: pre-consensus - Consensus coherence validation
  • Hook: post-swarm-task - Stability analysis after tasks
  • Service: CoherentHiveMind - Extended hive-mind with verification

Security Domain

  • Hook: pre-rag-retrieval - Hallucination prevention
  • Integration: Input validity checking via coherence

AIDefence Domain

  • Extension: Coherence-based threat detection
  • Integration: Mathematical attack pattern analysis