The gap

When a disruption occurs in a complex system — a power line fails, a communication node goes dark, a supply chain link breaks — the cascade of secondary failures can be more damaging than the initial event. Current systems detect cascades reactively, after propagation is underway, and have no structural mechanism for preemptive mitigation, for treating refusal to act as a first-class observation, or for learning topology from operational experience.

There is no domain-agnostic cascade primitive that operates across governance-credentialed topology graphs with multi-authority resolution and authority-approval-gated topology learning.

The invention

A domain-agnostic cascade propagation primitive over governance-credentialed multi-authority topology graphs. The topology graph identifies which units depend on which other units, with cascade-propagation evaluation traversing the graph. Refusal to act is a first-class governed observation — when a unit refuses an action, the refusal enters the architecture as a credentialed observation enabling upstream alternative coordination.

A preemptive-mitigation directive generator produces governed coordination directives routed to downstream receiving agents. A cascade-halting and containment mechanism specifies governance-policy-defined stop-conditions under which propagation is actively interrupted. Multi-authority resolution coordinates cascades spanning multiple governance authorities. Topology learning refines the graph from observed propagation outcomes.

The inventive step

Prior art models cascades as fault trees or event chains analyzed after the fact. Cascade propagation models cascades as governance-chain-preserving projection of an observed disruption from one region of a physical-world topology to other regions, with preemptive mitigation as a first-class output and refusal as a first-class observation — enabling upstream coordination before cascade onset rather than post-hoc analysis.

The departure is that cascade management is a structural property of the governed mesh: every node's refusal to act is a credentialed observation that the mesh can route around, every topology dependency is governance-credentialed, and the mesh learns topology from operational experience.

Alone, and in composition

On its own, cascade propagation applies to power grid resilience, communication network failure management, supply chain disruption containment, cyber-physical system cascade prevention, financial system contagion control, and transportation network disruption management.

In composition, cascade propagation reads topology from the spatial mesh, receives disruption events from environmental disruption sensing, and outputs preemptive mitigation directives through governed actuation.