Show & Tell 40.5 — CausalOrchestrator: Unified Causal Pipeline & XAI Integration

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CausalOrchestrator — Show & Tell

Implementation Highlights

The CausalOrchestrator is the capstone component of Phase 40, unifying all causal reasoning capabilities into a coherent pipeline.

End-to-End Pipeline

Data → CausalGraphBuilder (40.1) → CausalGraph (DAG + SCM)
         ↓
     InterventionEngine (40.2) → Treatment Effects (ATE/ATT/CATE)
         ↓
     CounterfactualReasoner (40.3) → What-If Scenarios
         ↓
     CausalInferenceOptimizer (40.4) → Robust Estimates
         ↓
     CausalOrchestrator (40.5) → Registry + Planning + Explanations

Causal Model Registry

Version-controlled repository of SCMs with:

• Semantic versioning (graph structure changes = major, parameter updates = minor)
• A/B comparison of competing causal models
• Automatic retraining triggers on distribution shift
• Git-like branching for experimental causal hypotheses

Intervention Planning

Multi-objective optimization over possible interventions:

maximize  E[Y | do(X₁=x₁, ..., Xₖ=xₖ)]
subject to  cost(x₁, ..., xₖ) ≤ budget
            xᵢ ∈ [lᵢ, uᵢ]  ∀i
            side_effect(xⱼ) ≤ threshold  ∀j

Uses Pareto frontier enumeration for multi-objective trade-offs.

XAI Integration (Phase 39 ↔ Phase 40)

Phase 39 Component	Phase 40 Integration
FeatureAttributor (39.1)	SHAP → causal ancestor identification
ConceptExplainer (39.2)	Concepts → causal mechanism labels
CounterfactualGenerator (39.3)	Upgrade to structural counterfactuals (40.3)
AttentionVisualizer (39.4)	Attention → causal graph edge weights
ExplainabilityOrchestrator (39.5)	Unified causal-XAI explanation pipeline

Related: #813