Mechanism

Field-based typing determines a semantic agent's role from the structural presence, combination, and coherence of its canonical semantic fields, rather than from an externally assigned identity, a runtime classification, or procedural logic. The cognition-compatible agent schema specifies six canonical fields: an intent field, a context block, a memory field, a policy reference field, a mutation descriptor field, and a lineage field. A semantic agent object carries some subset or all of these fields within its own structure, and the particular combination it carries is what determines its role. Role determination is performed directly from the agent object's structure, enabling distributed systems to interpret an agent's capabilities, constraints, and expectations by reading its fields rather than by consulting an external registry.

The consequence is that a role is not a label attached to an agent; it is a property that the agent's field composition exhibits. Because the determination reads only the agent's internal structure, role-based expectations emerge naturally from structural composition and validation rather than from procedural enforcement, and they hold across decentralized, stateless, and heterogeneous environments without shared execution state or centralized synchronization.

The Canonical Fields That Confer a Role

Each canonical field contributes a distinct semantic capacity, and the role an agent exhibits follows from which capacities its structure combines. The intent field expresses the agent's semantic objective. The context block records environmental, trust, identity, or domain-specific metadata, which may include origin identifiers, trust scope indicators, role classifications, environmental parameters, or deployment constraints relevant to interpreting policy applicability and mutation eligibility. The memory field preserves behavioral history and traceability. The policy reference field identifies the policies that constrain permissible interactions. The mutation descriptor field specifies the conditions, triggers, constraints, or bounds under which the agent's intent, role, or structural composition may evolve. The lineage field references one or more semantic ancestors, preserving continuity of semantic identity and supporting verification of provenance, role inheritance, policy lineage, and trust relationships.

Because the role is read from these fields, the same field can participate in many roles. A memory field preserves transformation traceability in one composition and preserves evaluation outcomes in another; a policy reference field constrains a governance-oriented agent in one composition and bounds a short-lived resolution task in another. The role is the coherent combination, not any single field in isolation.

Roles That Emerge From Field Combinations

The schema illustrates the typing discipline with three representative roles drawn from FIG. 4. A semantic agent that includes an intent field, a memory field, and a mutation descriptor field is structurally capable of proposing, recording, and evolving semantic objectives within permitted mutation scopes; the mutation descriptor field in conjunction with the intent field enables controlled semantic transformation, while the memory field preserves traceability of those transformations. Agents exhibiting this configuration may be classified as mutator agents.

A semantic agent that includes a context block, a policy reference field, and a memory field, while lacking an explicit intent field or mutation descriptor, is oriented toward environmental evaluation, governance enforcement, and conditional activation. Its memory field preserves evaluation outcomes and its policy reference field constrains permissible interactions, so it may observe conditions, apply policy thresholds, and delegate semantic activity without independently initiating mutation. Agents with this field composition may be classified as poller agents.

A semantic agent that comprises a context block, a policy reference field, and a lineage field, without an explicit memory field or mutation descriptor, inherits semantic authority, trust scope, or governance context from upstream lineage relationships while deferring mutation and memory accumulation. Such agents propagate semantic context and policy constraints across distributed systems without initiating structural change, and may serve as delegate agents.

An Open, Non-Exhaustive Role Vocabulary

Role definitions are not fixed or enumerated exhaustively. The schema permits additional semantic roles to emerge from other valid combinations of canonical fields, provided that structural coherence and validation thresholds are satisfied. For example, agents possessing memory and lineage fields without a mutation descriptor may function as reflector agents, preserving and propagating semantic traceability without altering semantic objectives. Agents possessing context, policy, and mutation fields without memory may function as resolver agents, instantiated for short-lived or scoped semantic resolution tasks under strict governance boundaries.

Because new roles arise from any coherent field combination that satisfies structural coherence and validation thresholds, the vocabulary of roles is defined by the schema's field interaction rules rather than by a closed taxonomy. This avoids rigid role taxonomies, reduces dependency on centralized classification systems, and supports scalable semantic coordination across heterogeneous and stateless environments by reading structure rather than registering identities.

Role Transitions Through Field Change

Agents may transition between roles over time as canonical fields are added, removed, inferred, or modified through authorized mutation or scaffolding processes. Because the role follows from the field composition, a change to that composition is a change of role. Such transitions are constrained by the schema's field interaction rules and are recorded within the memory field when present, preserving auditability of semantic role evolution.

Role transitions are governed, not free. When a mutation descriptor field is absent, the semantic agent object is treated as structurally immutable and is prohibited from altering its intent, role classification, or structural composition until mutation authorization is explicitly granted through policies identified by the policy reference field, through lineage inheritance, or through subsequent scaffolded updates. This immutability constraint prevents uncontrolled semantic drift in partially instantiated agents. Context updates that bear on role must remain consistent with the trust scope, role definitions, and environmental constraints encoded in the policy reference field.

Interoperability Without Role Registries

Field-based typing lets agents of differing roles interoperate coherently through shared structural semantics rather than through external role registries or centralized authorities. Nodes interacting with an agent evaluate field presence, the policies identified by the policy reference field, and lineage anchors, and from these determine permissible interactions, delegation eligibility, and trust scope. FIG. 4 illustrates representative interoperability relationships among agents exhibiting different field-based roles, demonstrating how agents of varying structural compositions participate coherently while preserving policy compliance, lineage continuity, and semantic integrity.

When a partial semantic agent interacts with a full semantic agent, the interaction is evaluated on the basis of field coherence rather than role identity or execution context. A partial agent lacking an explicit intent field, for instance, may inherit semantic direction from a full agent through lineage references or context-based delegation while preserving its own policy constraints and contextual scope. Where an intent field is absent, semantic purpose may be resolved under schema-defined rules from lineage references, contextual role definitions, or policy-encoded default objectives associated with the agent's trust domain. The evaluation reads what is structurally present and resolves what is absent under schema-defined rules, so agents of varying compositions participate together while preserving policy compliance and semantic integrity.

Distinction From External Role Assignment

In conventional agent-based systems, semantic intent, memory, trust context, and governance constraints are typically maintained outside the agent representation, often in application logic, workflow engines, or session-scoped state, and roles are assigned through externally maintained identities, runtime classifications, or procedural logic. Field-based typing instead reads the role from the agent object's own canonical fields, so role determination travels with the agent across stateless and federated systems without reconstructing external state.

Because roles emerge from coherent field combinations rather than from a closed catalog, the schema enables flexible, decentralized role assignment that evolves dynamically with agent structure, avoiding rigid role taxonomies and reducing dependency on centralized classification systems. Interoperability among agents of differing roles is achieved through shared structural semantics, field-aware resolution, and lineage continuity rather than through external registries or central authorities.

Disclosure Scope

Field-based typing, in which a semantic agent's role is determined from the structural presence, combination, and coherence of the canonical fields of intent, context, memory, policy reference, mutation descriptor, and lineage, is disclosed in U.S. Application No. 19/452,651 in the section on agent role definitions and field-based typing. The disclosure covers the representative mutator, poller, and delegate roles shown in FIG. 4, the further reflector and resolver roles that emerge from other valid field combinations, and the principle that role definitions are not fixed or exhaustively enumerated but admit any coherent combination that satisfies structural coherence and validation thresholds.

The disclosure further covers role transitions effected by authorized addition, removal, inference, or modification of canonical fields, the recording of such transitions within the memory field when present, the treatment of an agent without a mutation descriptor as structurally immutable until mutation authorization is granted through policies identified by the policy reference field, lineage inheritance, or scaffolded updates, and interoperability among agents of differing roles through structural validation, field-aware resolution, and lineage continuity rather than external role registries. This article describes that disclosed mechanism and does not depend on any particular schema language or execution substrate, provided the role is determined from the coherent composition of the canonical fields.