Mechanism

The bifurcation begins with how each profile is characterized. The operator risk profile characterizes competence-relevant and capability-relevant attributes of the operator: skill level, experience, medical impairment, and violation history treated as indicia of competence. The hostility profile characterizes hostility-relevant attributes: aggression history, active pursuit or stalking behavior, target-specific animosity, and legal-constraint status. Both profiles extend the structured partial-fidelity tier of the mesh, but they are kept structurally distinct, with separation of hostility attributes from competence attributes rather than combination into a single aggregate risk score.

The risk profile admits attribute forms including an operating-style attribute classifying the operator as aggressive, assertive, defensive, cautious, or distracted; an experience-level attribute classifying the operator as novice, intermediate, or experienced; a violation-history attribute summarizing recent operational violations; an incident-history attribute summarizing recent at-fault and no-fault incidents with severity profile; a medical-condition attribute subject to explicit operator consent; an operating-context attribute indicating regulated-activity status; and a compound-risk attribute computed by a governance-credentialed risk aggregator. Its credentialing sources include licensing authorities, insurance carriers (subject to the insured's consent), fleet operators, governance-credentialed risk-aggregator services, and operator self-declaration.

The hostility profile admits attribute forms including an aggression-history attribute summarizing prior governance-credentialed incidents (road-rage events, vehicular assault, harassment, ramming, threatening maneuvers); an active-pursuit attribute characterizing currently-observed persistent-following, persistent-approach, persistent-surveillance, or stalking behavior across governance-policy-defined distance and duration thresholds; a target-specific-animosity attribute; a domain-scope attribute distinguishing general from class-specific hostility; a de-escalation-responsiveness attribute; an escalation-trajectory attribute characterizing whether observed hostility is stable, escalating, or de-escalating; and a restraining-order or legal-constraint attribute indicating judicial or regulatory restrictions. Its credentialing sources include law-enforcement authorities, judicial authorities, regulatory authorities, insurance carriers (subject to insured consent), employers and fleet operators, security authorities, intelligence and defense authorities, and operator self-declaration. The hostility profile mechanism includes a profile-lineage recorder that records each attribute contribution, evaluation, emission, consumption, and downstream coordination adjustment.

Operating Parameters

The two profiles are governed under different privacy tiers. The risk profile is subject to privacy governance that is typically more restrictive than immediate-intent signals because it encodes persistent personal attributes; its configurable tiers include at least a minimal-disclosure tier revealing only an aggregated risk category, a structured-disclosure tier revealing selected attributes without personally identifying information, and a full-disclosure tier revealing the complete profile with credentialing-source identifiers, available only with explicit operator consent.

The hostility profile is held to governance-policy-defined due-process constraints producing stricter privacy tiers than the operator risk profile, reflecting the sensitive nature of hostility attribution. Its disclosure levels include a minimal-disclosure tier revealing only an aggregated hostility class (none, elevated, acute); a proximity-gated tier revealing specific attributes only to consuming agents within governance-policy-defined spatial proximity; a target-proximity tier revealing target-specific-animosity attributes only to the identified target's personal agent and to governance-credentialed infrastructure agents in the target's vicinity; and a law-enforcement tier revealing the full profile only to credentialed authorities acting under investigative, protective, or emergency authority. An operator-consent or statutory-authority verifier confirms an admissible disclosure basis before emission.

Consuming agents adjust coordination margins, evasive-readiness thresholds, route selection, and response-mode defaults upon admission of hostility profile signals, with each adjustment lineage-recorded to support downstream audit of coordination decisions. A de-escalation-response generator produces governance-policy-defined response-adjustment directives for consuming agents. Each hostility attribute carries its credentialing source's authority credential, and the consuming agent evaluates each attribute against that source's authority and track record.

Alternative Embodiments

The hostility profile admits additional attribute forms beyond those above, including a coalition-adversary attribute in coalition or multi-agent contexts identifying the operator as adversarial with respect to a specific coalition or alliance, a compound hostility attribute computed by governance-credentialed aggregation of constituent attributes, and any other governance-policy-defined hostility attribute. The profile is structured to accommodate these forms without combining them into a single aggregate score.

The hostility profile mechanism includes a cross-domain hostility portability mechanism producing per-domain hostility weightings from portable cross-domain attributes. Hostility inferred or credentialed in one domain may inform coordination in another domain, subject to governance-policy-defined cross-domain weighting. The mechanism's applicability spans any operator-controlled platform with hostility-relevant attributes, including road vehicles, vessels, aircraft, unmanned systems, industrial equipment, medical practitioners, and personal-agent-carried operators.

The hostility profile mechanism extends through an adversarial-intent inference mechanism that combines inferred adversarial intent with admitted hostility profile signals to produce composite hostility estimates, operable across civilian, commercial, industrial, emergency-response, and defense domains rather than scoped to any single domain. That mechanism includes a counter-action selector producing governance-policy-defined graduated counter-action and a lineage recorder recording each inference, classification, counter-action selection, and downstream consequence.

Composition With the Cognition Architecture

The bifurcation operates as a structural primitive that other architectural layers can rely on without each layer needing to re-derive the risk-hostility distinction from raw observations. Each profile applies privacy governance per its own tier structure, and a consuming agent's access to attributes is gated by the privacy tier it is credentialed for, so that hostility attributes governed under stricter due-process tiers are not exposed to agents credentialed only for aggregated risk categories.

The two profiles compose differently with the agents that consume them. The risk profile supplements immediate-intent signals with persistent-context signals affecting a consuming agent's projection of the contributing unit's likely behavior, and consuming agents adjust coordination margins and admissibility thresholds based on admitted risk attributes. The hostility profile is consumed by neighboring units' governance chains for coordination adjustment, including evasive-readiness elevation, rather than passive logging, with each adjustment lineage-bound to support reconstruction of the coordination decision.

Both profiles compose with the structured partial-fidelity tier they extend and with the adversarial-intent inference mechanism, whose hostility-profile-integration evaluator combines inferred adversarial intent with admitted hostility profile signals to produce composite hostility estimates. Consumption is lineage-bound throughout, so that each coordination adjustment driven by a hostility signal can be reconstructed against the credentialing source and authority that supplied the underlying attribute.

Prior-Art Distinction

The hostility profile signal mechanism is structurally distinguished from prior usage-based telematics, driver-monitoring systems, and behavioral-analytics systems in several respects. First, it provides explicit separation of hostility attributes from competence attributes rather than combining them into a single aggregate risk score. Second, it relies on authority-credentialed multi-source provenance with due-process credentialing rather than single-vendor algorithmic classification. Third, it applies stricter privacy-tier governance reflecting the sensitive nature of hostility attribution. Fourth, it provides for consumption by neighboring units' governance chains for coordination adjustment, including evasive-readiness elevation, rather than passive logging.

Prior systems that conflate competence-based risk with intent-based hostility into a single behavioral score cannot distinguish a lower-skill operator, for whom a competence-relevant classification is appropriate, from an operator whose behavior is structurally indicative of adversarial intent. By separating the two profiles at the attribute level and credentialing each against an authority appropriate to its consequences, the architecture keeps competence-relevant attributes and hostility-relevant attributes from being substituted for one another.

The mechanism further provides cross-domain portability, whereby hostility inferred or credentialed in one domain informs coordination in another subject to governance-policy-defined cross-domain weighting, and lineage-bound consumption supporting reconstruction of each coordination adjustment. Its cross-domain applicability spans road vehicles, vessels, aircraft, unmanned systems, industrial equipment, medical practitioners, and personal-agent-carried operators.

Disclosure Scope

This disclosure is described in U.S. Provisional Application No. 64/049,409. It covers the hostility profile signal as a structured intent representation distinct from the operator risk profile, the per-attribute credentialing source interface, the persistent-, episodic-, and target-specific-hostility evaluators, the cross-domain hostility portability mechanism, the privacy-tier enforcer applying stricter due-process-constrained governance than the risk profile, the operator-consent or statutory-authority verifier, the de-escalation-response generator, and the profile-lineage recorder. It positions the hostility profile alongside the operator risk profile of the same operator-intent layer, with the two characterized by different attribute forms and credentialing sources and governed under different privacy tiers.

The scope further encompasses the hostility profile attribute forms (aggression history, active pursuit, target-specific animosity, domain scope, de-escalation responsiveness, escalation trajectory, restraining-order and legal-constraint status, coalition adversary, and compound and governance-policy-defined attributes), the hostility profile credentialing source classes (law-enforcement, judicial, regulatory, insurance, employer and fleet, security, intelligence and defense authorities, and operator self-declaration), the privacy disclosure tiers (minimal-disclosure, proximity-gated, target-proximity, and law-enforcement tiers), and the adversarial-intent inference mechanism that combines inferred adversarial intent with admitted hostility profile signals to produce composite hostility estimates and graduated counter-action. The disclosure contemplates application across operator-controlled platforms including road vehicles, vessels, aircraft, unmanned systems, industrial equipment, medical practitioners, and personal-agent-carried operators.