Mechanism
Affect-modulated discovery traversal integrates the affective state field of a discovery object into the dynamics by which that object traverses the adaptive semantic index. A discovery object is a semantic agent that carries persistent state across traversal steps as it moves through the index, visiting anchor nodes and evaluating candidate transitions at each step. The affective state field is the seventh structural field of the semantic agent schema: a deterministic, policy-bounded structure that encodes valence-weighted feedback derived from prior execution outcomes and environmental observations. When this field is integrated into traversal, the discovery object's dispositional orientation shapes the trajectory it follows through semantic space.
At each anchor node during traversal, the anchor's neighborhood evaluation module produces a candidate transition set representing the semantic neighborhoods reachable from the current anchor. The discovery object's affective state modulates the scoring and selection of candidate transitions from this set. The affective state of the discovery object thus serves as a traversal parameter that shapes the search process without altering the search infrastructure: the index structure, the anchor schemas, and the neighborhood evaluation are unchanged.
The Control Fields That Drive Traversal
The affective state field is organized as a structured modulation layer of named control fields, each encoding a distinct dimension of dispositional orientation. The fields that participate in traversal modulation are drawn from this same layer that modulates the agent's broader deliberation. They include an uncertainty sensitivity field, encoding responsiveness to epistemic uncertainty; a novelty appetite field, encoding disposition toward previously unobserved patterns and execution paths; a risk sensitivity field, encoding the weighting of potential negative outcomes relative to positive ones; and a persistence-under-partial-failure field, encoding the tendency to continue a line of execution when intermediate results indicate partial failure.
Each named control field is represented as a tuple comprising a current magnitude value within a defined range, a decay rate governing return toward a baseline, a policy-defined ceiling and floor bounding the permissible range, and a timestamp of the most recent update. Because traversal modulation reads from these same fields, the discovery object's traversal behavior reflects the cumulative outcomes encoded across its prior operations rather than a separate, traversal-specific parameter set.
Elevated Uncertainty Sensitivity Favors Conservative Transitions
When the discovery object's uncertainty sensitivity is elevated, for example because prior traversal steps encountered ambiguous or contradictory semantic content, the transition scoring function assigns higher scores to conservative transitions. A conservative transition is defined as a transition to an anchor node whose semantic neighborhood has high overlap with previously visited neighborhoods, whose content entropy is low, and whose trust slope history indicates stable behavior. This modulation causes a cautious discovery object to favor familiar, well-characterized semantic territory over unexplored regions.
Elevated Novelty Appetite Favors Novel Transitions
When the discovery object's novelty appetite is elevated, for example because the discovery intent requires creative synthesis or the query domain is underexplored, the transition scoring function assigns higher scores to novel transitions. A novel transition is defined as a transition to an anchor node whose semantic neighborhood has low overlap with previously visited neighborhoods and whose content entropy is moderate to high. This modulation causes an exploratory discovery object to favor uncharted semantic territory that a conservatively configured object would not reach.
Risk Sensitivity and Persistence Shape the Path
When the discovery object's risk sensitivity is elevated, the transition scoring function penalizes transitions to anchor nodes with short trust slope histories, recently modified content, or high entropy in their neighborhood descriptions. This modulation causes the discovery object to prefer well-established, stable anchors over recently created or frequently changing ones.
When the discovery object's persistence-under-partial-failure is elevated, the traversal engine permits the discovery object to continue exploring a line of traversal even when intermediate anchors produce low-relevance scores, rather than backtracking to a previous decision point. This modulation enables the discovery object to push through sparse or weakly connected regions of the semantic index that might lead to valuable content beyond the initial low-relevance zone.
Same Query, Different Valid Paths
The affect-modulated traversal dynamics produce different traversal trajectories through the same semantic index structure. Two traversal traces originating from the same anchor node diverge due to different affective state configurations, one conservative and one exploratory. The mechanism ensures that the same query, submitted through different affective contexts, produces different but equally valid traversal paths.
Because the affective state field is persisted with the discovery object across execution cycles, the configuration that drives a given traversal is not arbitrary: it reflects the object's accumulated experience. An object that has accumulated negative execution experience traverses more conservatively, while an object that has accumulated positive experience traverses more expansively, with each disposition carried as part of the object's persistent state rather than supplied externally per query.
Affect Shapes the Search, Not the Permissions
A strict separation of concerns is maintained between the affective modulation layer and the governance infrastructure. The affective state field cannot create authority the discovery object does not possess, cannot bypass policy constraints, and cannot access semantic neighborhoods excluded by its policy reference field. An object with elevated novelty appetite still cannot reach anchors that policy places outside its scope. Affect modulates how the object weighs and selects among the candidate transitions that the neighborhood evaluation already admits, not whether a transition is permitted.
Every update to the affective state field is a policy-bounded mutation subject to range bounds, rate limits, admissible-trigger checks, and lineage recording. The affective state that enters the traversal scoring function is therefore always within its policy-defined operating envelope, and each affective mutation that contributed to a given traversal configuration is recorded in the agent's lineage as a state-mutation event. This makes a divergent trajectory reconstructable: the deterministic update function can be replayed over the recorded observations to recover the exact affective configuration that produced the path.
Disclosure Scope
Affect-modulated discovery traversal, comprising the integration of the discovery object's affective state field into the scoring and selection of candidate transitions at each anchor node, the modulation of conservative versus novel transition preference by uncertainty sensitivity and novelty appetite, the penalization of unstable anchors by risk sensitivity, the continuation through low-relevance regions enabled by persistence-under-partial-failure, and the production of divergent but equally valid trajectories from the same anchor under different affective configurations, is disclosed in the cognition filing (U.S. Application No. 19/647,395 and its international counterpart) in the affective state chapter. This article describes that disclosed mechanism. The scope extends to embodiments in which the named control field set varies, in which the conservative and novel transition definitions are realized over different neighborhood and entropy representations, and in which the affective configuration driving a traversal is derived from any policy-admissible observation source, provided the affective state modulates transition selection within the admissible candidate set while leaving the index infrastructure and governance constraints unchanged.
