Mechanism
The affective state field is the seventh field of the semantic agent schema: a deterministic, policy-bounded data structure that encodes valence-weighted feedback derived from prior execution outcomes and environmental observations. Because it is a structural field rather than metadata, an annotation, or an external signal, every mutation to it participates in the same governance, lineage tracking, and policy enforcement mechanisms that apply to the agent's other fields. Policy-bounded affective updates are the mechanism by which that participation is enforced: each update to the affective state field is a policy-bounded mutation, governed by constraints the agent's policy reference field specifies for each named control field in the affective modulation layer.
The named control fields of the modulation layer include uncertainty sensitivity, ambiguity tolerance, novelty appetite, persistence-under-partial-failure, escalation-under-time-pressure, risk sensitivity, and cooperation disposition. Each field is represented as a tuple comprising a current magnitude value within a defined range, a decay rate, a policy-defined ceiling and floor, and a timestamp recording the most recent update. The policy-bounded update mechanism governs how a structured observation is permitted to move any of these values, and it does so as a multi-stage validation and clamping pipeline rather than as a single unconstrained write.
The Policy Constraints
The policy reference field specifies, for each named control field, a set of constraints that govern how that field may be updated. The constraints comprise five categories. Range bounds are a minimum and maximum permissible value for the field; the update function cannot produce a value outside these bounds regardless of the magnitude of the triggering observation, clamping to the ceiling or floor when the computed update would exceed them. Rate limits are a maximum magnitude of change per update cycle; even an extreme triggering observation, such as a catastrophic execution failure, cannot change the field value by more than the rate limit in a single cycle, which prevents discontinuous affective jumps that could destabilize deliberation.
Admissible triggers are a defined set of observation types permitted to drive updates to a given named control field; the update function ignores observations that are not in the admissible trigger set for that field, which prevents spurious or adversarial environmental signals from modulating fields they should not affect. Update authority specifies which entities or processes are authorized to initiate affective updates: in an embodiment, only the agent's own execution environment, governance-authorized feedback channels, and policy-defined delegation parents are permitted to trigger updates, and external entities cannot directly write to the affective state field without passing through the policy validation gate. Decay governance places policy constraints on the decay parameters for each field, including minimum and maximum decay rates and whether decay is permitted to proceed below the field's baseline value, which prevents adversarial suppression of affective response through artificially accelerated decay.
The Update Pipeline
When a structured observation is received, the policy-bounded update mechanism operates in a defined sequence. It first verifies that the observation type is in the admissible trigger set for the relevant field. It then computes the raw update magnitude according to the field's update rule. It then clamps the update magnitude to the rate limit. It then applies the clamped update to the current field value. It then clamps the resulting value to the range bounds. Finally, it records the complete transaction, comprising the observation, the raw update, the clamped update, the prior value, and the resulting value, in the agent's lineage.
This multi-stage clamping and validation ensures that no single observation, and no sequence of observations, can drive the affective state outside its policy-defined operating envelope. Each dimension of the affective state vector is updated independently according to its own update rule, subject to its own policy-imposed bounds. The update is recorded as a state mutation event with the input observations and the resulting state change preserved for audit.
Deterministic And Reconstructable
Updates to the affective state field are deterministic: given the same agent state, the same environmental inputs, and the same policy configuration, the update function produces the same output. The update function is implemented as a deterministic state transition function that takes the current affective state vector, the current set of structured observations, and the applicable policy configuration as input and produces an updated affective state vector. In alternative embodiments the update function may incorporate bounded stochastic components, for example noise injection to simulate biological variance, provided the stochastic contribution is policy-bounded, auditable through lineage recording, and does not compromise the governance properties described here.
Because each update is deterministic and each observation is recorded, the agent's affective state at any historical point is reconstructable by replaying the deterministic update function over the recorded sequence of observations from the lineage. The reconstruction produces the exact affective state vector that existed at the queried timestamp. This forensic capability enables compliance auditing and regulatory review without requiring persistent storage of moment-to-moment affective state values: the reconstruction is performed on demand from the lineage record and the update function specification, both of which are preserved as part of the agent's cryptographic provenance.
Affect Does Not Override Governance
A strict separation of concerns is maintained between the affective modulation layer and the governance infrastructure. The affective state field cannot create authority that the agent does not possess, cannot bypass policy constraints, cannot override trust slope validation, cannot validate truth claims, and cannot authorize execution that governance has denied. It modulates deliberation dynamics, that is how the agent thinks, but does not determine execution admissibility, that is whether the agent is permitted to act. The affective state field is not an input to the governance gate; even if affective modulation produces maximal confidence disposition and minimal risk sensitivity, the governance gate independently determines whether the proposed action satisfies all policy requirements.
This separation operates across specific dimensions. On authority, affective state cannot grant permissions: an agent with elevated cooperation disposition and low risk sensitivity still cannot delegate to an agent outside its policy-defined delegation scope. On truth validation, an agent with suppressed uncertainty sensitivity does not thereby treat uncertain information as verified. On policy compliance, even when the agent's current modulation state would benefit from broader exploration, policy-imposed ceilings on field values and execution scope limitations remain inviolable, and the update function enforces policy bounds as hard constraints during every update cycle. On trust slope validation, the agent's trust slope is computed and validated independently of affective state, and an agent with any affective configuration must still satisfy trust slope continuity requirements before execution is permitted.
Decay, Hysteresis, And Stabilization
Each named control field is governed by a decay curve that determines how the field value returns toward its baseline in the absence of reinforcing stimuli. The decay curve is a deterministic function of time elapsed since the most recent update, the magnitude of the current deviation from baseline, and the decay parameters specified by policy. In an embodiment the decay function is an exponential decay with a configurable time constant, where the field relaxes from its post-update value toward the policy-defined resting value. Different named control fields may have different decay time constants, reflecting that some modulation dimensions are more persistent than others: uncertainty sensitivity may decay rapidly because epistemic conditions change frequently, while persistence-under-partial-failure may decay slowly because learned persistence reflects deeper accumulated experience.
The modulation layer exhibits semantic hysteresis, a property whereby the current affective state depends not only on current observations but also on the trajectory of prior states. Hysteresis is implemented through asymmetric update rules: the rate at which a field increases in response to a triggering observation may differ from the rate at which it decreases when the triggering condition is removed. In an embodiment, negative valence updates driven by failure, uncertainty, or threat apply at a higher rate than positive valence updates driven by success or stability, producing a built-in caution bias. Entropy-governed valence stabilization is applied to prevent oscillatory behavior: when a field exhibits rapid alternation between elevated and suppressed values, the stabilization mechanism progressively increases the effective decay time constant to damp the oscillation, with the stabilization threshold and damping factor configurable by policy.
Lineage And Policy Auditing
Every affective update is recorded in the agent's lineage as a policy-governed mutation. The lineage records reference affective mutations abstractly: they include the observation type, the update direction on each affected field, and the policy compliance status, but in an embodiment they do not include the absolute field values or the raw observations. This abstraction level permits lineage auditing, that is verifying that the agent's affective evolution followed policy-compliant paths, without revealing the agent's moment-to-moment internal state. The governance gate records whether the agent's affective state was within policy bounds at the time of execution as a binary compliance record rather than recording specific field values in an externally accessible log.
The same constraint structure governs affective updates that originate from other channels described in the specification, including biological signal coupling, delegation inheritance, and interaction exposure in multi-agent contagion. In each case the channel produces a structured observation of a defined type that is subject to the admissible-trigger check, the rate limit, and the range bounds described here, with channel-specific attenuation applied before the bounded update mechanism runs. The result is that no input channel, whether environmental, biological, or inter-agent, can move the affective state outside the policy-defined operating envelope, and every such movement leaves an auditable lineage record.
Disclosure Scope
Policy-bounded affective updates, comprising the per-field policy constraints of range bounds, rate limits, admissible triggers, update authority, and decay governance, the ordered multi-stage update pipeline that verifies the admissible trigger then clamps to the rate limit then clamps to the range bounds, the deterministic and lineage-reconstructable update function, the strict separation by which affective state modulates deliberation but never overrides governance, and the decay, hysteresis, and entropy-governed stabilization behavior of the modulation layer, are disclosed in the cognition filing (U.S. Application No. 19/647,395 and its international counterpart). This article describes that disclosed mechanism. The scope extends to embodiments in which the named control fields, decay functions, and constraint values differ, provided every update to the affective state field is bound to a policy reference, clamped within its policy-defined operating envelope, and recorded in the agent's lineage.
