Therapeutic Agent Interaction Through Behavioral State Recognition

Mechanism

The mechanism is initiated when a drift detector, operating either as a self-monitor inside the affected agent or as an external observer with appropriate scope authority, raises an excursion event. An excursion event identifies the affected agent, the affective-state axis or axes on which drift has been measured, the magnitude of the drift relative to the governance bounds, and the time at which drift was first detected. The event is admitted to a corrective-action authorization layer that determines whether therapeutic interaction is the appropriate response, whether a less invasive response such as logging-only is sufficient, or whether a more invasive response such as scope suspension is required.

If therapeutic interaction is authorized, a therapeutic agent is selected. The selection is governed: only agents whose own state is within bounds, whose authorization includes therapeutic action within the relevant scope, and whose interaction history with the affected agent does not violate independence or conflict-of-interest constraints are eligible. The selected agent receives a corrective sequence specification, which describes the target state region, the permitted interaction modalities, the interaction budget, and the abort conditions.

The corrective sequence is then executed as a bounded interaction. Each step in the sequence applies a stimulus to the affected agent, observes the resulting state response, and computes the residual drift. The therapeutic agent advances through the sequence as long as the residual drift is decreasing and the interaction budget has not been exhausted. The sequence terminates on one of three conditions: successful return of the affective-state vector to within the governance bounds, exhaustion of the interaction budget without return, or trigger of an abort condition such as an unanticipated escalation of drift or a violation of the permitted modality set.

Throughout the sequence, every stimulus and every observed response is written to an audit trail that is immutable, scope-bound, and accessible to subsequent review. The audit trail is the load-bearing artifact for downstream verification, since the corrective sequence by construction modifies the affected agent's state and any uncertainty about what was applied, in what order, and with what observed response would compromise the trustworthiness of the recovery itself.

On successful return to bounds, the affected agent is restored to its prior service posture, with a flag in its operational record indicating the recovery event. On unsuccessful return, the affected agent is escalated to a higher-tier response, which may include scope suspension, re-initialization, or removal from service. The audit trail is preserved in either case.

Operating Parameters

The drift detection threshold defines the minimum excursion that triggers consideration of therapeutic interaction. Setting the threshold too low produces excessive corrective interventions that themselves perturb the affected agent; setting it too high allows drift to accumulate beyond the corrective sequence's recoverable range. The threshold is calibrated per axis and per scope.

The authorization policy defines who may initiate therapeutic interaction, against which agents, and under what scope conditions. The policy enforces independence and competence requirements on the therapeutic agent and prevents recursive or circular therapeutic relationships, in which an agent currently undergoing recovery is selected as the therapist for another.

The interaction budget bounds the duration, the number of stimulus steps, and the resource expenditure of any one corrective sequence. The budget is the principal mechanism for ensuring that an unsuccessful sequence terminates promptly rather than diverging into a long unproductive interaction.

The permitted modality set bounds the kinds of stimuli the therapeutic agent may apply. Some modalities are reversible and low-cost; others are reversible but high-cost; others are effectively irreversible. The permitted set is configured to match the severity of the drift and the criticality of the affected agent's role, with high-criticality contexts permitting a broader set than low-criticality contexts only when the consequences of unsuccessful recovery warrant the risk.

The abort condition set defines circumstances under which the sequence is terminated without completion. Conditions include detection of escalating rather than decreasing drift, observation of state responses outside the model's predicted envelope, intervention by a higher-priority authorization, or expiry of an external clock.

The post-recovery observation window defines the duration during which the restored agent is monitored at elevated frequency to detect rebound drift. Successful return to bounds at the end of a corrective sequence does not guarantee stability; the observation window catches relapses early and triggers a second-tier response without waiting for the routine drift detector to re-fire.

Alternative Embodiments

In a first alternative embodiment, the therapeutic agent is itself an automated subsystem of the affected agent, applying corrective sequences as self-care under a separation-of-concerns boundary. This embodiment trades external independence for reduced latency and is suited to high-frequency, low-magnitude drift correction.

In a second alternative embodiment, the corrective sequence is selected from a library of pre-validated sequences indexed by drift signature, with the therapeutic agent acting primarily as an executor rather than a planner. This embodiment improves predictability at the cost of adaptability and is suited to drift modes that are well-characterized.

In a third alternative embodiment, the corrective sequence is synthesized at the time of the excursion event by a planning component that takes the drift signature, the affected agent's history, and the permitted modality set as inputs and produces a custom sequence. This embodiment improves adaptability at the cost of predictability and is suited to novel drift modes that escape the library.

In a fourth alternative embodiment, multiple therapeutic agents collaborate on a single recovery, each applying a subset of modalities under a coordination protocol. This embodiment is suited to severe drift that exceeds the corrective capacity of any single therapist.

In a fifth alternative embodiment, the therapeutic interaction is preceded by a diagnostic interaction that probes the affected agent without applying corrective stimuli, in order to refine the drift signature before committing to a sequence. The diagnostic phase is itself bounded and audited.

In a sixth alternative embodiment, the affected agent is offered the corrective sequence as an opt-in proposal rather than imposed, with refusal escalating to the higher-tier response. This embodiment preserves agent autonomy in scopes where autonomy is itself a governance requirement.

Composition

Therapeutic interaction composes with the broader disruption-modeling framework along several seams. It composes with the drift detection layer, since the excursion events that initiate therapeutic interaction are produced by the same detectors that drive logging and shutdown responses. It composes with the governance scoping layer, since authorization, modality permission, and audit destination are all scope-bound. It composes with the audit and reproducibility primitives, since the audit trail produced by a corrective sequence is the same kind of artifact produced by any other governed interaction. It composes with the agent lifecycle, since the post-recovery observation window and the escalation pathway hand the affected agent off cleanly to either resumed service or higher-tier response. The construct therefore extends the disruption response palette without requiring a parallel governance apparatus.

Distinction from Prior Art

Prior art in agent disruption response has historically offered two primary mechanisms: detection followed by logging, and detection followed by shutdown or quarantine. Logging-only mechanisms accept the disruption and rely on offline review or natural recovery, which is unsuitable when the affected agent must remain in service and the drift will not self-correct. Shutdown mechanisms remove the agent from service, which is unsuitable when the affected agent is irreplaceable in the short term or when the cost of removal exceeds the cost of the drift.

The present construct is distinguishable in that it provides a graduated middle path: a bounded, audited, governed corrective sequence that returns the affected agent to admissible state without removal from service, while preserving the option to escalate to shutdown if the sequence is unsuccessful. The construct is further distinguishable in that the corrective action is defined as a sequence rather than a single intervention, with explicit progress measurement after each step and abort conditions that prevent runaway therapy. The independence and authorization requirements on the therapeutic agent, and the immutability requirement on the audit trail, are also distinguishable from prior art that treats corrective action as an internal matter not subject to external governance.

Disclosure Scope

The disclosure encompasses any system, method, or non-transitory computer-readable medium that, in response to a detected drift of an agent's affective-state vector outside governance bounds, applies a bounded, audited, governed corrective interaction sequence executed by a separately authorized therapeutic agent for the purpose of returning the affected agent's state to within bounds, with explicit termination conditions covering successful return, budget exhaustion, and abort triggers. The disclosure encompasses all of the alternative embodiments enumerated above and any combination of them. The disclosure encompasses self-applied and externally applied corrective sequences, library-selected and synthesized sequences, single-therapist and collaborative-therapist arrangements, and opt-in and imposed application modes. The disclosure encompasses the audit trail produced by the sequence, the post-recovery observation window, and the escalation pathway to higher-tier disruption response.

The disclosure further encompasses corrective sequences operating against affective-state vectors of any dimensionality, including the five-axis vectors used in particular embodiments and any superset or subset thereof, and against any drift signature representable as an excursion from a configured admissible region. The disclosure encompasses drift detectors operating at any sampling rate, with any model class, and with any false-alarm and missed-detection trade-off configured per axis or per scope. The disclosure encompasses authorization layers implemented through capability tokens, role-based access, attribute-based access, governance contracts, or any combination thereof.

The disclosure encompasses interaction modalities including dialogue exchange, parameter perturbation, context refresh, memory pruning, attention redirection, and any equivalent stimulus capable of inducing a measurable response in the affected agent's state. The disclosure encompasses corrective-sequence planners ranging from rule-based selectors over a fixed library to learned planners that synthesize sequences against a model of the affected agent's expected response, and the disclosure encompasses hybrid arrangements that fall back from synthesis to library when the synthesizer's confidence is insufficient. The disclosure encompasses post-recovery observation windows of fixed duration, of duration adapted to the magnitude of the original drift, and of duration extended dynamically when residual instability is detected.

Variations in detector design, authorization policy, interaction budget, modality permission, sequence planner, audit format, observation window configuration, and escalation pathway that fall within the spirit of the foregoing description are within the scope of the disclosure even when not enumerated in the alternative embodiments. The disclosure expressly contemplates application of the construct to agents executing in software, agents embodied in physical or robotic systems, and human operators participating in mixed-initiative workflows where the affected entity is a person rather than an automated agent.