Field Interaction Rules: Deterministic Constraints Between Canonical Fields

Mechanism

Field interaction rules are the deterministic interaction rules and structural constraints that the cognition-compatible agent schema places on how the canonical semantic fields of a semantic agent object may influence, restrict, or validate one another. The schema defines not only the presence of the canonical fields, the intent field, context block, memory field, policy reference field, mutation descriptor field, and lineage field, but also the structural relationships those fields must satisfy. These interactions are enforced at the schema level to preserve semantic coherence, policy compliance, and traceable lineage across agent evolution, independent of execution environment or runtime orchestration.

An interaction rule is evaluated structurally, not procedurally. A semantic agent object is structurally coherent when it includes one or more canonical fields and satisfies the schema-defined structural rules that render it admissible as a valid agent representation, based solely on information embedded within the object, without reliance on external state, execution context, or semantic interpretation. Two or more canonical fields are structurally compatible when they are permitted to coexist within the same semantic agent object under the schema-defined structural rules, including satisfaction of required cross-field dependencies and reference constraints, as determined without interpreting semantic meaning, execution outcomes, or runtime behavior.

Cross-Field Coherence Requirements

The schema requires that interactions among the canonical fields remain logically coherent prior to any transformation. The disclosure identifies specific coherence requirements: alignment between the intent field and the policies identified by the policy reference field, and consistency between memory field entries and lineage field references. Validation of a full semantic agent further evaluates logical coherence among the fields, including alignment between intent and policy, consistency between memory traces and mutation descriptors, and continuity of lineage references. A discrepancy between the policies identified by the policy reference field and the behavior recorded in the memory field results in structural validation failure.

The schema expresses these checks structurally. Determining whether the available fields are internally consistent and admissible includes determining whether mutation descriptors reference an applicable policy field, whether lineage references resolve to a prior state, and whether memory entries are compatible with mutation scope. Each of these determinations is completed without interpreting semantic correctness or execution results. The coherence of the object is therefore a property of its structure, evaluable by any node from the object's contents alone, rather than a property that emerges from running the agent.

Mutation Evaluation Logic

Field interaction rules govern transformation as well as static coexistence. Mutation is evaluated through mutation evaluation logic, which operates as a schema-defined validation mechanism rather than as procedural execution logic. The mutation evaluation logic examines the mutation descriptor field of an origin semantic agent object in conjunction with the policy reference field and the context block to determine whether a proposed semantic transformation is authorized. Mutation evaluation further requires that the proposed transformation preserve lineage continuity and that any prior semantic commitments recorded in the memory field remain auditable.

When mutation is authorized, the schema permits the creation of a derived semantic agent object. The derived object may include a modified intent field, an updated context block, an extended memory field, and a refined mutation descriptor field, while retaining the policy reference field from the origin object. The lineage field of the derived object references the lineage field of the origin object, thereby extending the semantic ancestry graph without overwriting or severing prior lineage relationships. Mutation evaluation is the interaction rule applied to a proposed change of state rather than to a single committed state.

Constraints on Permissible Transformations

Field interaction rules impose strict constraints on which transformations are permitted. Changes to the intent field are permitted only when authorized by the policy reference field and when such changes fall within the scope defined by the mutation descriptor field. Context updates must remain consistent with trust scope, role definitions, and environmental constraints encoded in the policy reference field. Memory updates recording mutation events are mandatory for all authorized transformations and must reflect both the origin object and the derived object to preserve traceability.

The policy reference field governs not only mutation eligibility but also propagation limits, delegation rights, and semantic scope inheritance. The mutation descriptor field restricts semantic evolution to explicitly authorized pathways: a proposed mutation outside the defined descriptors is rejected or quarantined without altering lineage or memory state. Lineage continuity is enforced by requiring that every derived object reference one or more prior objects through its lineage field, and unauthorized lineage modification or deletion is structurally invalid unless explicitly permitted by governing policies.

Determinism and Outcomes

The interaction rules are schema-deterministic. Identical semantic agent object structures, evaluated under identical policy references and contextual parameters, yield identical validation, mutation-eligibility, and structural scaffolding outcomes. This determinism is independent of execution environment, runtime scheduling, transport medium, or procedural execution order, which is what allows decentralized enforcement of the rules without a centralized validator or synchronized state.

The disclosure describes the outcomes of rule violation in structural terms. An object that fails minimum field presence thresholds or that exhibits irreconcilable conflicts among available fields is deemed structurally non-compliant. Such an object may be rejected, quarantined, or subjected to scaffolding repair procedures according to environmental policy and validation rules. A proposed mutation that falls outside the mutation descriptor field is rejected or quarantined without altering the lineage or memory state of the object. These are the outcome terms the specification uses; the rules produce admissibility determinations rather than scores, thresholds, or graded confidence values.

Composition With Other Schema Capabilities

Field interaction rules compose with the other structural capabilities of the schema. With structural scaffolding, the rules apply to resolved objects in which missing fields have been inferred, reconstructed, or defaulted under schema-defined rules; where a mutation descriptor field is absent, the resolved object is treated as structurally immutable until mutation authorization is explicitly granted, so the interaction rules continue to bound a partially instantiated object. With field-based typing, the same field combinations that satisfy the interaction rules also determine the agent's structural role, and role transitions over time are constrained by these interaction rules and recorded in the memory field when present.

With schema governance and provenance enforcement, the trace outcomes produced when interaction rules authorize or reject a mutation are recorded in the memory field and reference the applicable policy constraints and lineage anchors in effect at the time of the event, forming a verifiable record of semantic evolution. In some embodiments this record may be supported by cryptographic techniques that make field provenance and mutation history tamper-evident, though the use of cryptographic binding is optional and does not alter the schema-level validation model.

Distinction From Prior Art

In conventional agent-based systems, semantic intent, memory, trust context, and governance constraints are maintained outside the agent representation, in application logic, workflow engines, or session-scoped state. Cross-field consistency in such systems is enforced, if at all, by procedural execution within a specific runtime, so the constraints travel with the environment rather than with the object. When an agent is paused, transferred, rehydrated, or executed across stateless or federated systems, the relationships among its fields are no longer enforceable from the object alone.

The field interaction rules disclosed here differ by enforcing cross-field constraints at the data-object and schema level. The relationships among intent, context, memory, policy, mutation, and lineage are evaluated from information embedded within the object, prior to any semantic execution, mutation, delegation, or propagation, such that eligibility for semantic participation is a consequence of structural coherence rather than a result of runtime execution. This lets semantic agents evolve deterministically, auditably, and within defined governance boundaries across distributed systems without centralized coordination.

Disclosure Scope

This article describes the field interaction rules and structural constraints disclosed in U.S. Application No. 19/452,651, which defines deterministic interaction rules governing how the canonical semantic fields of a semantic agent object may influence, restrict, and validate one another. The scope encompasses the cross-field coherence requirements that determine whether fields are structurally compatible and permitted to coexist, including alignment between intent and the policies identified by the policy reference field and consistency between memory entries and lineage references; the structural checks that determine whether mutation descriptors reference an applicable policy field, whether lineage references resolve to a prior state, and whether memory entries are compatible with mutation scope, each completed without interpreting semantic correctness or execution results; the mutation evaluation logic that examines the mutation descriptor field together with the policy reference field and context block to authorize a transformation while preserving lineage continuity and memory auditability; the constraints that bound changes to intent, context, memory, policy, mutation, and lineage during an authorized transformation; and the recording of authorized and rejected mutations as trace outcomes in the memory field, referencing the policy constraints and lineage anchors in effect at the time of the event. The scope extends to embodiments in which these rules apply to full and partial semantic agent objects, to resolved objects produced by structural scaffolding, and to objects whose provenance is optionally bound by cryptographic techniques, provided the interaction rules remain schema-level, deterministic, and evaluable from information embedded within the object.