Clause Validation Against Forecasted States
Ensuring That Policy Logic Executes Only When Risk Simulations Meet Verifiable Conditions
7.3.1 Clause Logic as Forecast-Dependent Infrastructure
In the NSF protocol, every executable policy clause may include one or more simulation-dependent conditions.
These conditions bind the clause’s activation to the output of forecast models, ensuring that high-stakes actions—such as capital deployment, emergency response, or credential revocation—only proceed when predicted risk states exceed validated thresholds.
This enforces a contract between:
Forecast evidence
Governance intent
Clause logic
Execution trust domain
No clause may execute without a SimulationRunVC that matches its forecast preconditions.
7.3.2 The Forecast-Bound Clause Architecture
Each clause includes a simulation_validation
section, with:
Required model/template ID
Forecast output key (e.g.,
risk_score
)Threshold logic (e.g.,
risk_score > 0.85
)Time horizon
Forecast confidence or error bounds
Accepted signers (SimDAO oracles, credentialed validators)
Example clause binding:
"simulation_validation": {
"template": "[email protected]",
"output_key": "risk_score",
"threshold": "greater_than",
"value": 0.85,
"forecast_window": "next_7_days",
"required_endorsements": ["SimDAO-Asia", "DAOAuditor@UNDRR"]
}
7.3.3 Clause Trigger Logic Types
Direct Risk Score
Simple scalar comparison (e.g., risk > 0.9
)
Multivariate Evaluation
Compound logic (e.g., flood_risk > 0.8 && ICU_usage > 75%
)
Distribution Trigger
Probabilistic thresholds (e.g., P(risk > 0.8) > 95%
)
Time-Averaged Score
Sustained risk over time (e.g., avg_risk > 0.6 over 10 days
)
Change Detection
Delta threshold (e.g., risk ↑ 15% in last 72h
)
All logic must be executable, testable, and interpretable by the clause validator and CAC runtime.
7.3.4 Forecast Input Provenance Requirements
The clause validator enforces that:
The forecast was run with credentialed data injectors
The input schema matches the clause-approved Risk Template
All input sources are hashed and time-signed
All data lies within declared jurisdiction and time bounds
The simulation model version matches clause version constraints
If any condition fails, the clause is not authorized to execute.
7.3.5 DAO-Attested Forecast Validity
Each SimulationRunVC must include:
Simulation run hash
Clause compatibility flag
Signatures from the governing SimDAO
Input provenance tree
Execution timestamp
ZK attestation (if applicable)
Clauses reference this proof during runtime validation:
"validated_forecast": "SimulationRunVC#0x4fe91..."
7.3.6 Dynamic vs Static Threshold Binding
Clauses may define:
Static triggers (e.g., risk must exceed 0.9)
Dynamic triggers (e.g., top 10% risk percentile across region)
Externalized thresholds (e.g., fetched from TreatyDAO policy layer)
Adaptive thresholds (e.g., escalates with increasing simulation uncertainty)
These must be resolvable at CAC runtime via on-chain governance or credentialed oracles.
7.3.7 Forecast-Driven Clause Freezing
If:
No valid forecast exists
Forecast input fails verification
Model used has been deprecated
Simulation mismatch occurs (e.g., wrong version, wrong jurisdiction)
Required endorsements are missing
…the clause is automatically frozen, and a governance or dispute flag is emitted to the Audit Layer.
This ensures that simulation-incompatible clauses cannot silently execute.
7.3.8 Re-Validation and Forecast Replays
DAO governance may require:
Forecast re-execution (if challenged or outdated)
Risk class re-mapping (e.g., after new treaty thresholds adopted)
Cross-model consensus (e.g., average of 3 models required)
Jurisdictional exception simulation (e.g., local override logic)
All re-validations must be logged and anchored as updated SimulationRunVCs
.
7.3.9 Integration with Clause Versioning
When clause logic is updated:
A new forecast must be executed under the updated condition
SimDAO and clause DAO must re-sign the new binding
Prior forecasts are archived but not reused unless explicitly authorized
Version lineage is maintained in the Clause Registry
This ensures future simulations match the governance context of current clause logic.
7.3.10 Simulation-Constrained Governance as a First-Class Citizen
In NSF:
Forecasts are not optional inputs—they are constitutional evidence
Clauses are not logic scripts—they are risk-bound governance instruments
Simulations do not suggest—they authorize
This elevates foresight to governance enforcement, producing a global machine-verifiable system of evidence-based policy activation across disaster, finance, health, and environmental domains.
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