Mechanism
Every governed actuation executed by a governed unit is emitted as a governed actuation-state observation and propagated through the governed mesh. The mechanism comprises an actuation-state observation constructor that produces a governed actuation-state observation for each executed actuation, an actuation-state observation emitter that propagates the observation through the mesh, and an actuation-state consumer interface at receiving devices that accepts the observation through the composite admissibility evaluator and consumes admitted observations into the receiving device's experiential observation store and cognitive primitives.
A governed actuation-state observation comprises at minimum the issuing unit's authority credential, a dynamic device hash, a spatial reference identifying where the actuation occurred, a temporal reference identifying when the actuation occurred, an actuator-identifier field identifying the specific actuator, an actuation-type field identifying the category of actuation, an actuation-parameter field encoding the parameters of the actuation, a selected-mode field identifying the graduated-actuation mode selected for execution, a composite-admissibility-determination field recording the admissibility determination input to the mode selection, an expected-effect field encoding the expected-effect specification, a time-to-live field, and a cryptographic integrity attestation.
The actuation-state broadcast enables cross-unit coordination through a plurality of mechanisms. Neighboring units adjust their own planning graphs in accordance with the observed actuations of the broadcasting unit: a first vehicle observing a second vehicle's broadcast emergency-braking actuation adjusts its own following distance accordingly. Cognitive infrastructure agents aggregate actuation-state observations into dispositional fields, producing locations of elevated actuation frequency or elevated actuation-mode constraint. Forecasting agents consume actuation-state observations as inputs to fleet-behavior forecasting and cascade-propagation forecasting. Health-monitoring agents consume the observations for per-unit operational-health assessment, and reputation-track-record agents consume them for per-unit reputation maintenance.
Each consuming mechanism operates according to the consuming agent's governance-policy-defined consumption authority. Any governance-credentialed agent may consume actuation-state observations within the scope of that authority, so the set of consumers is not fixed: the same broadcast simultaneously informs neighboring planners, dispositional aggregation, forecasting, health monitoring, and reputation maintenance.
Coordination therefore occurs through the same credentialed-observation machinery that handles per-unit governance. The actuation-state observation passes through the composite admissibility evaluator at each receiving device before it is consumed, so a unit consumes only admitted actuation-state observations into its planning graph and cognitive primitives.
Operating Properties
The actuation-state observation is propagated through the governed mesh as a governed observation, so it travels under the mesh's transport mechanisms and is subject to the mesh's time-to-live field carried in the observation itself. The observation records both a spatial reference identifying where the actuation occurred and a temporal reference identifying when it occurred, allowing a consuming unit to place the observed actuation in space and time relative to its own state.
The selected-mode field carries the graduated-actuation mode that the broadcasting unit selected for execution, and the composite-admissibility-determination field records the admissibility determination that was input to that mode selection. A consuming unit therefore observes not only that an actuation occurred but the governed mode at which it was executed and the admissibility basis for that mode, which is what allows a neighboring planner to respond proportionately, such as adjusting following distance to an observed emergency-braking mode.
The expected-effect field encodes the expected-effect specification produced at the time of actuation execution. Consumption of each actuation-state observation is bounded by the consuming agent's governance-policy-defined consumption authority, so the breadth of cross-unit coordination is determined by governance policy rather than by a fixed coordination schema. The cryptographic integrity attestation and authority credential carried in each observation allow receiving units to evaluate the observation through the composite admissibility evaluator before consuming it.
Consuming Mechanisms
In one embodiment, neighboring units are the consumers: a unit consumes the broadcasting unit's actuation-state observation as an input to its own planning graph and adjusts its near-term plan in accordance with the observed actuation. This is the consumption path exercised when a following vehicle adjusts its following distance in response to an observed emergency-braking actuation.
In a further embodiment, cognitive infrastructure agents are the consumers: they aggregate actuation-state observations into dispositional fields, producing locations of elevated actuation frequency or elevated actuation-mode constraint that downstream units consume as field observations rather than as individual actuation reports.
In a further embodiment, forecasting agents consume actuation-state observations as inputs to fleet-behavior forecasting and to cascade-propagation forecasting, projecting how observed actuations propagate across the operating population.
In a further embodiment, health-monitoring agents consume actuation-state observations for per-unit operational-health assessment, and reputation-track-record agents consume them for per-unit reputation maintenance. The broadcasting unit emits a single governed actuation-state observation, and these consumers each draw on it according to their governance-policy-defined consumption authority.
Composition With the Wider Architecture
The actuation-state broadcast is the final stage of the confidence-governed execution chain: a proposed actuation is evaluated through the composite admissibility evaluator, the graduated-actuation mode selector selects an actuation mode in accordance with the admissibility determination, the actuator executes at the selected mode, post-actuation verification compares observed effects against expected effects, and the actuation-state broadcast then emits the executed actuation as a governed observation to the mesh. The broadcast carries the selected mode and the composite-admissibility-determination forward, so the same governance basis that gated the actuation travels with its broadcast.
Coordination reuses the same machinery as per-unit governance rather than adding a separate subsystem. The actuation-state observation is propagated through the governed mesh, and at each receiving device it passes through the composite admissibility evaluator before being consumed into the experiential observation store and cognitive primitives. The consuming unit's planning graph, dispositional field, and forecasting primitives are the same cognitive primitives that operate on every other class of governed observation.
The mechanism is structurally distinguished from prior closed-loop control architectures in that the actuation state is propagated to the external mesh as a governance-credentialed observation rather than being confined to the executing system. Prior closed-loop control architectures confine actuation state to the internal feedback loop of the controlling system, which forecloses the cross-unit coordination that the actuation-state broadcast enables.
Distinction From Prior Art
Prior closed-loop control architectures confine actuation state to the internal feedback loop of the controlling system. The actuation-state broadcast mechanism is structurally distinguished in that the actuation state is propagated to the external mesh as a governance-credentialed observation rather than being confined to the executing system, which is what enables the cross-unit coordination mechanisms described above.
The disclosed mechanism propagates each executed actuation as a governed actuation-state observation carrying the issuing unit's authority credential, the selected graduated-actuation mode, the composite-admissibility determination, the expected-effect specification, and a cryptographic integrity attestation. Receiving units consume only admitted observations, through the composite admissibility evaluator, into their planning graphs and cognitive primitives, so coordination is carried by the same credentialed-broadcast machinery that handles per-unit governance rather than by a separate coordination subsystem.
Disclosure Scope
This article describes subject matter disclosed in U.S. Provisional Application No. 64/049,409. The disclosure covers the actuation-state broadcast mechanism by which every governed actuation executed by a governed unit is emitted as a governed actuation-state observation propagated through the governed mesh, the fields carried by that observation, the consumption of admitted observations through the composite admissibility evaluator into a receiving unit's experiential observation store and cognitive primitives, and the cross-unit coordination mechanisms enabled by that broadcast, including planning-graph adjustment by neighboring units, dispositional-field aggregation by cognitive infrastructure agents, fleet-behavior and cascade-propagation forecasting, per-unit operational-health assessment, and per-unit reputation maintenance, each operating under the consuming agent's governance-policy-defined consumption authority. The disclosure does not claim any specific broadcast transport; that element is an implementation choice left to the practitioner. The mechanism is independent of the actuation modality and depends only on the actuation-state observation, the governed mesh, and the composite admissibility evaluation described.
