Mechanism
The governance-credentialed topology graph represents nodes of a physical-world domain and edges representing propagation channels between those nodes. The topology graph is maintained by one or more governance authorities with domain responsibility, so that each node and edge is held under authority-chained custody rather than under ad hoc trust assumptions. A per-edge propagation function defines how a disruption at a source node projects to connected nodes with governance-policy-defined transit, attenuation, transformation, or amplification characteristics, and a per-node aggregation function defines how multiple incoming propagation contributions combine at a receiving node.
A cascade-trigger ingest interface consumes governed disruption observations from the environmental disruption sensing primitive and maps them to originating cascade nodes. A cascade-computation engine then executes the propagation function across the topology, producing per-node predicted affected regions, magnitudes, and arrival times. The computation is governance-chain-preserving: each topology reference and each propagation computation is recorded in the governance chain lineage field, so that a cascade determination produced against a given topology state can be reconstructed and re-verified.
The topology graph admits extension to any future topology class through governance-policy-defined topology registration without architectural modification, and the primitive operates across power, transportation, fluid, thermal, structural, biological, communication, logistics, economic, and cyber-physical topologies through a shared architectural mechanism. Each topology update is itself recorded in the governance chain lineage field, alongside the directive emissions, mitigations, halting events, and refusals that the cascade computation produces.
A cross-domain cascade composition mechanism combines cascade propagation across two or more topology domains, producing composite cascade determinations, and a cascade-authority resolution mechanism resolves responsibility when a topology spans multiple governance authorities. Because the graph expresses governance-credentialed propagation channels rather than wiring topology, cascade reasoning operates against the governance layer: the directives produced are governance-chain-preserving cascade-propagation observations admissible through the composite admissibility evaluator and routable through the observation routing primitive.
Operating Parameters
The per-edge propagation function is governance-policy-defined rather than fixed. It specifies the transit, attenuation, transformation, or amplification characteristics by which a disruption at a source node projects to a connected node, and the per-node aggregation function specifies how multiple incoming contributions combine at a receiving node. The disclosure does not fix particular coupling coefficients, hop limits, or propagation thresholds; these are governance-policy-defined and recorded with the topology reference in the governance chain lineage.
When a downstream receiving agent cannot or should not apply a proposed mitigation, the refusal is itself a first-class governed observation, enabling upstream agents to seek alternative mitigations, solicit additional corroborating observations, or escalate to higher-authority coordination. The refusal-reason classifications disclosed include, without limitation: evidential-insufficiency refusal, where the cascade-propagation observation lacks sufficient evidential weight; capability-exceedance refusal, where the proposed mitigation exceeds the agent's capability envelope; cost-threshold refusal, where the proposed mitigation exceeds governance-policy-defined cost thresholds; priority-conflict refusal, where the proposed mitigation conflicts with higher-priority governance commitments; authority-insufficiency refusal, where the proposing authority lacks appropriate credential to order the mitigation; dispositional refusal, where the dispositional field indicates inadmissibility; safety-boundary refusal, where the proposed mitigation violates governance-policy-defined safety boundaries; and composite refusal combining two or more.
A cascade-halting and containment mechanism specifies governance-policy-defined stop-conditions under which propagation is actively interrupted, and a preemptive-mitigation directive generator produces governed coordination directives routed to downstream receiving agents. Each refusal, reason classification, alternative-mitigation request, corroborating-observation solicitation, escalation, and downstream consequence is recorded by a refusal-lineage recorder, and refusal outcomes contribute to the topology-learning mechanism, so that upstream coordinators may adapt their cascade-response strategy in subsequent propagation computations.
A topology-learning and adaptive-refinement mechanism updates the topology graph, propagation functions, and aggregation functions from observed propagation outcomes. Credentials carry authority-credential, temporal-scope, and cryptographic-attestation fields, and the cryptographic attestation may be produced under a digital-signature algorithm, a threshold-signature algorithm, a zero-knowledge attestation, a post-quantum attestation, or any equivalent cryptographic attestation mechanism supporting the governance-chain properties.
Alternative Embodiments
In a first alternative embodiment, the topology graph is maintained in a distributed topology, as a union of local maintained portions held under the governance chain operating at each contributor and each consumer. In a centralized topology, a single maintained graph operates the propagation function, the cascade-computation engine, and the lineage-recording mechanism identically. In a hybrid topology, distributed local operation coexists with centralized archival, analytics, or cross-region composition, provided the system maintains the governance chain.
A further alternative embodiment composes the topology graph with the topology-learning and adaptive-refinement mechanism, in which observed propagation outcomes update the topology graph, propagation functions, and aggregation functions. A further embodiment composes with the preemptive-mitigation directive generator and the cascade-halting and containment mechanism, in which cascade-computation results drive governed coordination directives and governance-policy-defined stop-conditions under which propagation is actively interrupted.
A further alternative embodiment exercises the cross-domain cascade composition mechanism, combining cascade propagation across two or more topology domains to produce cascade-of-cascade determinations, with the cascade-authority resolution mechanism resolving responsibility where the composed topology spans multiple governance authorities. A further embodiment exercises the refusal and upstream-coordination mechanism, treating a downstream refusal as a first-class governed observation that triggers governance-chain-preserving escalation rather than silent failure.
Composition With Other Primitives
The governance-credentialed topology graph supplies the substrate over which cascade computation runs, and the cascade propagation primitive composes with adjacent primitives of the governed spatial mesh. It composes with the governed mesh protocol through cascade-propagation observation emission, with the dispositional field through disposition-weighted cascade sensitivity, with the capability envelope through cascade-induced capability derating, with the skills primitive through cascade-response adaptation artifacts, and with the observation routing primitive through authority-filtered cascade propagation.
The cascade-trigger ingest interface consumes governed disruption observations from the environmental disruption sensing primitive, mapping cascade-triggering disruptions to originating cascade nodes. Composition with the refusal and upstream-coordination mechanism allows a refusal at a downstream node to be emitted as a first-class governed observation, so that upstream coordinators may seek alternative mitigations, solicit additional corroborating observations, or escalate to higher-authority coordination, with each such event recorded in the governance chain lineage field.
Distinction From Prior Art
The cascade propagation primitive is structurally distinguished from prior cascade-modeling architectures, including power-grid SCADA cascade analysis, traffic simulation, epidemic modeling, supply-chain disruption modeling, and structural-failure modeling. First, prior architectures operate on centrally maintained models with ad hoc trust assumptions, whereas the present primitive operates on governance-credentialed topologies with authority-chained custody. Second, prior architectures produce unstructured alerts or central dashboards, whereas the present primitive produces governance-chain-preserving cascade-propagation observations admissible through the composite admissibility evaluator and routable through the observation routing primitive. Third, prior architectures are narrowly scoped to a single cascade domain, whereas the present primitive operates across domains through a shared architectural mechanism.
Fourth, prior architectures do not support cross-domain cascade composition producing cascade-of-cascade determinations, whereas the present primitive produces such compositions. Fifth, prior architectures do not provide governance-chain-preserving refusal and upstream-coordination mechanisms, whereas the present primitive produces refusals as first-class governed observations. Sixth, prior architectures do not support authority resolution across multi-authority topologies, whereas the present primitive provides such resolution. Seventh, prior architectures do not support governance-chain-preserving topology learning, whereas the present primitive supports adaptive topology refinement.
Disclosure Scope
This disclosure encompasses any governed spatial mesh architecture in which cascade computation operates over a governance-credentialed topology graph maintained by one or more governance authorities, in which a per-edge propagation function and per-node aggregation function govern how a disruption projects across the topology, and in which each topology reference, propagation computation, directive emission, mitigation, halting event, refusal, and topology update is recorded in the governance chain lineage field. The cryptographic attestation may be produced under a digital-signature algorithm, a threshold-signature algorithm, a zero-knowledge attestation, a post-quantum attestation, or any equivalent cryptographic attestation mechanism supporting the governance-chain properties. The primitive operates across power, transportation, fluid, thermal, structural, biological, communication, logistics, economic, and cyber-physical topologies, and admits extension to any future topology class through governance-policy-defined topology registration without architectural modification. Specific cryptographic mechanisms and application domains are recited as illustrative embodiments and are not intended to limit the claims.
The mechanisms described here are disclosed in U.S. Provisional Application No. 64/049,409.
