Mechanism
The cognition-compatible agent schema specifies six canonical semantic fields: an intent field, a context block, a memory field, a policy reference field, a mutation descriptor field, and a lineage field. A full semantic agent comprises all six. Partial validity is the schema property by which a semantic agent object containing fewer than all six canonical fields remains structurally valid, rather than being treated as invalid or requiring ad hoc repair. The absence of a field does not, by itself, invalidate the agent object, provided that the remaining fields can support coherent semantic interpretation and that any inferred or default behaviors are permitted under applicable governance rules.
Validation is performed at the data-object level based on the presence, coherence, and compatibility of canonical fields, not on runtime behavior, execution history, or procedural control flow. Validation begins by confirming that the agent object contains at least two canonical fields selected from the group of intent, context, memory, policy, mutation, and lineage. This minimum threshold ensures the object possesses sufficient semantic structure to support deterministic interpretation and governance. Upon satisfying the threshold, validation proceeds by evaluating the logical compatibility of the available fields.
The Minimum Field Threshold
The schema defines partial semantic agents as structurally valid agent objects that include fewer than all six canonical fields, provided that minimum field presence and coherence thresholds are satisfied. The disclosed minimum is the presence of at least two canonical fields. Below this threshold the object lacks sufficient semantic structure to be interpreted deterministically and is deemed structurally non-compliant.
The specification gives representative valid configurations. A partial agent comprising an intent field, a context block, and a policy reference field has sufficient grounding to express a governed objective within an environmental trust scope, despite the absence of explicit memory, mutation, or lineage fields. A partial agent comprising only a memory field and a lineage field remains valid as a reflective or audit-oriented agent that preserves semantic history and provenance without independently initiating objectives or transformations. A partial agent comprising a context block, a mutation descriptor field, and a lineage field supports participation in controlled transformation or delegation under inherited trust and provenance constraints, while deferring intent resolution or memory accumulation to upstream agents or scaffolded inference.
Coherence and Compatibility Evaluation
Satisfying the minimum count is necessary but not sufficient. After confirming presence, validation evaluates the logical compatibility of the available fields. The disclosed coherence checks include consistency between policies identified by the policy reference field and mutation descriptors, alignment between memory traces and lineage anchors, and coherence between intent declarations and contextual constraints. A full semantic agent is additionally evaluated for alignment between intent and policy, consistency between memory traces and mutation descriptors, and continuity of lineage references.
Agent objects that fail the minimum field presence threshold, or that exhibit irreconcilable conflicts among the available fields, are deemed structurally non-compliant. Validation outcomes are deterministic and reproducible across validating nodes, enabling decentralized enforcement of schema integrity without reliance on centralized validators or synchronized state.
Structural Scaffolding and Fallback Inference
Where one or more canonical fields are absent, the schema permits validation to proceed through structural scaffolding, a deterministic, schema-defined resolution mechanism rather than procedural execution logic. Scaffolding inspects the fields present in the partial agent and determines whether the missing canonical fields may be resolved, reconstructed, or defaulted in accordance with applicable policies, contextual metadata, and lineage constraints. Where missing fields are resolvable, the agent is resolved into a structurally complete form; where they are not, the object may be rejected, quarantined, or deferred for later resolution, reflecting structural inadmissibility rather than semantic error or execution failure.
Fallback inference applied during scaffolding is deterministic and policy-bound. As defined in the disclosure, fallback inference operates exclusively under constraints imposed by the available canonical fields, the policies identified by the policy reference field, and lineage anchors, and does not include probabilistic reasoning, learned model inference, or heuristic approximation unless explicitly authorized by governing policy. Scaffolding may be performed locally by a validating node, by a peer agent, or by a federated resolution service, provided that all inferred fields and resolution outcomes are recorded transparently within the agent object itself.
Field-Aware Default Resolution
The schema prescribes specific resolution behavior for each absent field. When an intent field is absent, semantic purpose may be resolved under schema-defined rules from contextual role definitions, inherited lineage objectives, or policy-encoded default behaviors associated with the agent's trust domain. Inferred intent is bounded by policy constraints and lineage scope. Where no permissible inference path exists, the agent is restricted from initiating semantic action until intent resolution occurs.
When a memory field is absent, the agent is treated as a first-instance actor and a blank trace structure is initialized. The initialized memory does not fabricate historical trace outcomes and is explicitly marked as scaffolded to distinguish inferred state from inherited or prior history. When a policy reference field is missing, default governance rules scoped by the agent's context block and environmental domain are applied until explicit policies are restored, with the default policy application recorded as a trace outcome. When a lineage field is absent, the scaffolding logic assigns an origin reference derived from context metadata or environmental trust anchors to ensure traceability of subsequent evolution.
Immutability as the Default for Missing Mutation Authority
Structural scaffolding does not introduce implicit permissions or uncontrolled behavior. When a mutation descriptor field is absent, the resolved semantic agent is treated as structurally immutable. In this state the agent 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, lineage inheritance, or subsequent scaffolded updates. This immutability constraint prevents uncontrolled semantic drift in partially instantiated agents.
This default is the schema's safeguard against partial validity becoming a vector for unauthorized evolution: an agent that cannot demonstrate authorized transformation pathways simply cannot transform. Authority is never assumed implicitly; it must be present in, or inheritable through, the agent's own fields.
Traceability of Resolution
Structural scaffolding is transparent and traceable. All inferred fields, default resolutions, and scaffolding interventions are recorded as trace outcomes within the memory field of the resolved agent object, and associated with lineage anchors where applicable. This ensures that downstream agents, validating nodes, and auditors may distinguish original agent state from scaffolded state and evaluate semantic evolution deterministically. The resolved agent preserves the fields carried by the original partial agent without alteration, while the newly inferred fields, such as an inferred intent, an initialized memory, or an assigned lineage anchor, are added and marked as scaffolded.
Because resolution outcomes are recorded within the agent object rather than in external logs, partial agents remain auditable across serialization, transfer, and rehydration. Scaffolding resolves structural completeness and semantic admissibility only; it does not initiate, schedule, or perform execution of semantic actions.
Distinction From Prior Approaches
In existing agent frameworks, partial or degraded agent representations are often invalid or require ad hoc repair logic, leading to fragility, inconsistent behavior, and limited interoperability across distributed or asynchronous environments. Such systems also maintain semantic intent, memory, trust context, and governance constraints outside the agent representation, coupling agent identity to a specific execution environment.
The disclosed schema differs by making partial validity a first-class structural property: a partial agent is admitted on the basis of its own embedded fields, validated by presence and coherence at the data-object level, and resolved through deterministic, policy-bound scaffolding whose every intervention is recorded within the agent. Structural incompleteness is handled without centralized coordination, external state reconstruction, or uncontrolled inference, and unresolvable agents are excluded rather than silently repaired.
Disclosure Scope
The partial validity mechanism described here, comprising the admission of semantic agent objects containing fewer than all six canonical fields, the minimum threshold of at least two canonical fields, validation by presence, coherence, and compatibility at the data-object level, the deterministic and policy-bound structural scaffolding and fallback inference that resolve, reconstruct, or default missing fields, the field-specific default resolution for absent intent, memory, policy, and lineage fields, the treatment of an agent lacking a mutation descriptor as structurally immutable, the recording of all inferred fields and resolution outcomes as trace outcomes within the memory field, and the rejection, quarantine, or deferral of agents that cannot be resolved deterministically, is disclosed in U.S. Application No. 19/452,651. This article describes that disclosed mechanism. The scope extends to variations in the surface representation of canonical fields and in the encoding of trace outcomes, provided the deterministic structural validation and policy-bound resolution properties described above are preserved.
