Affect-Modulated Discovery Traversal

Mechanism

Affect-modulated traversal is the behavior by which the discovery object's affective state field shapes how a traversal of the adaptive index evaluates candidates at every step. The affective state field is one of the discovery object's seven typed fields, carried alongside the intent field, the context field, the memory field, the policy field, the lineage field, and the confidence field. It is incorporated into the discovery object from the affective state field disclosed in the cognition filing's affect chapter, where the field is introduced as a structural addition to the agent schema rather than as metadata, an annotation, a prompt modifier, or an external behavioral overlay. Because the discovery object is structurally isomorphic to the semantic agent schema, the same governance, lineage, and policy mechanisms that operate on agents apply without modification to the affective state it carries.

The affective modulation does not alter the structural mechanics of the three-in-one traversal step. The search step, the inference step, and the execution step are performed in the same sequence regardless of the discovery object's affective state. What the affective state modulates is the quantitative parameters that shape how each step evaluates candidates: the scoring weights, the risk thresholds, the exploration-exploitation balance, and the escalation triggers that determine which transitions the inference engine prefers and how aggressively the traversal explores unfamiliar neighborhoods.

The Affective State Field

The affective state field is a deterministic, policy-bounded data structure that encodes valence-weighted feedback derived from prior execution outcomes and environmental observations. It does not encode emotion in the phenomenological or subjective sense; it encodes a structured modulation vector that influences how the entity weighs alternatives, tolerates ambiguity, persists under partial failure, and escalates under constraint pressure. In an embodiment, the field is organized as a structured modulation layer comprising a plurality of named control fields, each corresponding to a modulation axis with defined semantics, value ranges, update rules, and governance bounds.

The named control fields disclosed in the affect chapter include an uncertainty sensitivity field, an ambiguity tolerance field, a novelty appetite field, a persistence-under-partial-failure field, an escalation-under-time-pressure field, a risk sensitivity field, and a cooperation disposition field. In an embodiment, each named control field is represented as a tuple comprising a current magnitude value within a defined range, a decay rate governing how rapidly the field returns toward a baseline in the absence of reinforcing stimuli, a policy-defined ceiling and floor bounding the permissible range, and a timestamp recording the most recent update. The field is persisted with the discovery object across execution cycles, delegation events, and substrate migrations, and every mutation to it is recorded in the lineage field, subject to policy validation, and auditable by governance infrastructure.

The Modulation Pathways

The affect-modulated traversal disclosure identifies three control fields as the pathways through which affect modulates a traversal. When the discovery object's uncertainty sensitivity is elevated, for example when it has been instantiated from a query with ambiguous intent or when prior traversal steps have produced conflicting results, the inference step scores conservative transitions higher. Conservative transitions are transitions to well-established anchors with low entropy neighborhoods, transitions that reinforce the existing semantic trajectory rather than diverging from it, and transitions whose admissibility is supported by strong precedent in the discovery object's lineage. Elevated uncertainty sensitivity causes the traversal to prefer depth over breadth, exploiting established semantic paths rather than exploring novel neighborhoods.

When novelty appetite is elevated, for example when the discovery object has been instantiated from an exploratory query with open-ended intent or when prior steps have yielded diminishing returns along the current semantic path, the inference step scores exploratory transitions higher. Exploratory transitions are transitions to anchors with high entropy neighborhoods, transitions that diverge from the established trajectory into adjacent or tangential domains, and transitions whose outcomes are less predictable but potentially more informative. Elevated novelty appetite causes the traversal to prefer breadth over depth, sacrificing certainty for the potential of discovering relevant content in unexpected neighborhoods.

When risk sensitivity is elevated, for example when the traversal is conducted in a high-stakes context such as medical, legal, or financial information retrieval, the inference step applies stricter scoring criteria to candidate transitions, requiring stronger semantic match between a candidate's description and the discovery object's intent before promoting the candidate for admissibility evaluation. Elevated risk sensitivity reduces the candidate transition set by eliminating marginal candidates that would be included under normal conditions, resulting in a traversal that is more cautious, more focused, and more likely to produce results strongly supported by the admissibility record.

Convergence on the Confidence Gate

The affect and confidence traversal control architecture routes the modulation pathways into the traversal's advancement decision. The affect field feeds an uncertainty pathway, which shifts the inference step toward conservative transitions when uncertainty sensitivity is elevated; a novelty pathway, which shifts it toward exploratory transitions when novelty appetite is elevated; and a risk pathway, which applies stricter scoring to the candidate transition set when risk sensitivity is elevated. All three pathways converge on the confidence gate, which determines whether the traversal advances, pauses, or terminates.

This convergence is structural: affect does not act on advancement directly but through the same confidence-gated decision that governs every traversal step. The confidence field is updated at each step from the quality of the inference step's output, the strength of the admissibility determination, and the trajectory of the semantic state toward the resolution criterion in the intent field, and the affective pathways shape the candidate scoring whose outcome the confidence gate then evaluates. When confidence falls below a policy-defined advancement threshold, the traversal does not advance but enters a paused state in which the discovery object initiates inquiry operations within the current anchor's neighborhood. Affective disposition and confidence governance are thereby composed in a single advancement decision rather than operating as separate controllers.

Bounded by Governance

The affective modulation is bounded by governance. The discovery object's affective state cannot override policy constraints, bypass admissibility evaluation, or access semantic neighborhoods that the discovery object's policy profile does not authorize. Affect modulates how the traversal selects among admissible candidates; it does not determine which candidates are admissible. This separation ensures that affective modulation operates as a tuning mechanism within the governance boundary, not as an override mechanism that can circumvent governance protections.

The separation is enforced by the structure of the three-in-one traversal step itself. The execution step performs the admissibility determination independently of the inference step's scoring, so a transition that affect has scored highly is still subject to the same admissibility evaluation against policy constraints, lineage continuity, entropy bounds, and temporal validity as any other candidate. Because the named control fields carry policy-defined ceilings and floors, and because every affective update is clamped to its range bounds and rate limits, even an extreme affective state remains within governance-declared bounds, and no affective configuration can promote a transition past the admissibility gate.

Distinctions

Heuristic search systems employ parameters analogous to an exploration-exploitation balance, but these are typically buried tuning knobs annealed on a fixed schedule. The disclosed mechanism instead carries a structured affective state of named control fields, each with defined semantics, value ranges, update rules, decay parameters, and governance bounds, and each participating in lineage as an auditable field of the discovery object. The modulation is declarative and policy-bounded rather than an implementation parameter without a governed record.

Affective-computing systems in human-computer interaction model the user's affect to adapt interface behavior. The disclosed mechanism concerns the affective state of the discovery object itself, carried as a structural field of the agent schema, and its purpose is to shape the object's own traversal strategy. Because every mutation to the affective state is recorded in lineage and the modulation operates strictly within a non-overridable admissibility boundary, the affective trajectory of a traversal is reconstructable and auditable, in contrast to heuristic search whose tuning leaves no governed record.

Disclosure Scope

Affect-modulated traversal, comprising the discovery object's affective state field organized as a structured modulation layer of named control fields, the modulation of candidate scoring at the inference step through the uncertainty, novelty, and risk pathways, the convergence of those pathways on the confidence-gated advancement decision, and the governance boundary that confines affect to selection among admissible candidates without overriding admissibility, is disclosed in the cognition filing (U.S. Application No. 19/647,395 and its international counterpart) at Section 10.12, with the affective state field and its named control fields disclosed in the filing's affect chapter and the advancement gate disclosed at Section 10.13. This article describes that disclosed mechanism. The scope extends to embodiments employing additional named control fields of the affective modulation layer and to traversals over different anchor and neighborhood representations, provided the affective modulation remains a tuning mechanism within a non-overridable governance boundary.