Policy-Governed Inference Execution

Mechanism

The policy-governed inference mechanism is a two-stage construct. The first stage is the policy admission gate; the second is the per-call evaluation function. The two stages are deliberately separated so that the consistency burden is paid once at admission rather than repeatedly at every inference step.

A policy bundle is presented to the admission gate as a structured artifact comprising domain predicates, safety predicates, structural predicates, and task-specific predicates. Each predicate is expressed in a declarative form that the gate can evaluate without executing the surrounding inference call. The gate computes the closure of the predicate set under conjunction and tests for satisfiability. If any pair of predicates is mutually exclusive, or if a predicate's preconditions cannot be satisfied jointly with the rest of the bundle, the bundle is rejected. The rejection event is recorded in lineage with the offending predicate identifiers; the bundle never reaches inference.

Admitted bundles are signed by the gate and stamped with a policy version identifier. The signature binds the predicate text, the satisfiability proof, and the timestamp into a single artifact whose integrity downstream components can verify without re-running the consistency check. The version identifier becomes part of the lineage of every inference call that resolves against that bundle, so the policy state under which any decision was made is reconstructible from the lineage record alone.

The per-call evaluation function operates at each transition of the inference loop. When a candidate transition is proposed, the function loads the signed policy bundle indicated by the call's lineage, evaluates the candidate against each predicate, and produces an admit, reject, or decompose verdict. Because the bundle's internal consistency was proven at admission, the per-call evaluation reduces to predicate-by-predicate matching rather than constraint solving, which keeps the per-step cost bounded.

Operating Parameters

Several parameters govern the behavior of the admission gate and the per-call evaluator. The satisfiability prover has a configurable depth bound; bundles whose consistency cannot be established within the bound are rejected as conservatively as bundles with explicit contradictions, on the principle that a policy whose consistency cannot be verified should not govern live inference. The depth bound is recorded in lineage so that re-admission under a deeper bound can be distinguished from admission under the original bound.

Predicate scoring is parametric. Domain predicates may be tagged with strict or advisory weight; strict predicates produce reject verdicts on violation, advisory predicates produce decompose verdicts that route the candidate transition into a sub-deliberation. Safety predicates are always strict. Structural predicates govern the shape of the inference state itself and are evaluated before semantic predicates, so a structurally invalid candidate is rejected without consuming semantic-evaluation budget.

Policy versioning is monotonic. A new bundle does not overwrite a prior bundle; it is admitted as a successor, and inference calls in flight under the prior bundle complete under the prior bundle. This eliminates the class of failure where a mid-call policy swap produces evaluation behavior that neither the prior nor the successor bundle would produce in isolation. Lineage records the bundle identifier active at each transition, so a call's policy history is reconstructible.

Signature verification is mandatory at every inference boundary. A call that arrives at the evaluator without a verifiable signature on its claimed policy bundle is rejected by the evaluator regardless of the bundle's content. This closes the path by which a tampered bundle could be substituted between admission and evaluation.

Alternative Embodiments

The admission gate may be embodied as a standalone service, as a library linked into the inference runtime, or as a hardware module. The standalone service embodiment is preferred where multiple inference runtimes share a policy authority; the library embodiment is preferred where the inference runtime is itself the policy authority for its own deployment; the hardware embodiment is preferred where the policy bundle must be admitted under attestation in a multi-tenant silicon environment.

The satisfiability prover may be embodied as an SMT solver, as a SAT solver over a Boolean encoding of the predicate set, or as a domain-specific decision procedure where the predicate vocabulary is bounded enough to admit one. Each embodiment trades expressive power for prover speed; the choice is a deployment-time parameter and is itself recorded in lineage.

Predicate expression may be embodied in a custom declarative language, in a constrained subset of a general-purpose programming language, or in a logical form derived from a controlled natural language specification. The mechanism is indifferent to the surface syntax; the gate's contract is that predicates are evaluable without side effects.

Lineage binding may be embodied as an inline annotation on each call, as a side-channel reference into a lineage store, or as a content-addressed pointer into an immutable log. The mechanism requires only that the binding be tamper-evident and that the bundle identifier be recoverable from the lineage record.

Composition

Policy-governed inference composes upward with the broader inference-control surface. The semantic admissibility gate, the trust-slope evaluator, and the rollback-recovery procedure each consume the same signed policy bundle and resolve their own decisions against it. Because the bundle's consistency was proven once at admission, none of these downstream components must repeat the consistency check; they treat the bundle as a fixed input and concentrate their compute on the call-specific evaluation.

Policy-governed inference composes downward with the lineage substrate. Every admission event, every per-call verdict, every signature verification produces a lineage record. The lineage substrate is the audit primitive that makes the rest of the system reviewable; the policy mechanism is one of its principal producers.

Policy-governed inference composes laterally with rollback recovery. When post-execution evidence indicates that a call should not have proceeded, the rollback procedure references the policy bundle that admitted the call; if the bundle itself is found defective, the gate's admission record is the artifact under review, not the call's per-step verdicts.

Prior-Art Distinction

Conventional policy frameworks for AI systems apply policies as filters over completed outputs. The output is generated, the policy is applied to the output, and outputs that fail are suppressed. This approach cannot prevent the generation of problematic content; it can only suppress it after compute has been spent and after the inference state has been contaminated by the generation. It also cannot detect contradictions within the policy set itself, because the policy set is never reasoned over as a whole; it is only consulted predicate-by-predicate at filter time.

The mechanism here differs structurally on both points. Policies are reasoned over as a whole at admission time, so internally contradictory bundles never reach inference. And policies are evaluated within the inference loop at each transition, so problematic trajectories are prevented from developing rather than suppressed after the fact. The distinction is not parametric; it is a different point of application in the inference pipeline.

Conventional rule-based expert systems share the within-loop evaluation property but lack the signed, lineage-bound admission gate. Without the gate, rule-base modifications can be made silently and rule-base contradictions are detected only when a query happens to traverse them. The admission gate makes consistency a precondition of admission rather than a property to be discovered.

Implementation Considerations

Practical deployment of the mechanism requires attention to several engineering concerns that the structural description leaves open. Predicate authoring is one. The set of predicates that constitutes a usable policy bundle for a given domain is not produced by the gate; it is produced by the operator who is accountable for the inference system's behavior in that domain. The mechanism imposes the discipline that the resulting bundle be machine-checkable for consistency, but the predicate authorship itself is upstream of the gate. A deployment that fails to invest in disciplined predicate authorship will produce bundles that pass admission but are silent on the cases that matter; the gate cannot detect underspecification, only contradiction.

Predicate evaluation cost is the second concern. The gate's per-call evaluation budget is bounded by the inference loop's overall latency target. A predicate set whose evaluation exceeds the budget will either be truncated, with predicates near the end of the evaluation order silently skipped, or will exceed the latency target and degrade the user-facing performance of the inference system. Neither outcome is acceptable. The mechanism specifies that predicate evaluation be bounded; the engineering work of fitting the predicate set within the bound is a per-deployment concern. Profiling the predicate set against representative inference workloads is the customary discipline.

Bundle distribution is the third. In a multi-runtime deployment, the signed bundle must be replicated to every runtime that will evaluate calls under it; the replication must be timely so that a runtime does not evaluate calls under a stale bundle, and must be ordered with respect to bundle versioning so that no runtime ever holds a non-monotonic mix of bundles. The mechanism assumes the existence of a bundle-distribution substrate with these properties; it does not specify the substrate. Conventional configuration-distribution systems are sufficient when augmented with signature verification at the runtime end.

Operator workflow around bundle authoring is the fourth. The admission gate's rejection of an inconsistent bundle is a hard signal to the operator that the proposed policy contains a structural defect, but the signal is only useful if the operator's authoring tooling surfaces the offending predicate identifiers and routes them back to the human author for correction. A workflow that treats rejection as a generic failure and silently retries without diagnostic feedback wastes the gate's signal. Production deployments couple the gate to authoring tools that present the rejection's predicate trace in a form the human author can act on directly, and that prevent re-submission of the same bundle without acknowledgement that the offending predicates have been revisited.

Disclosure Scope

The disclosed mechanism covers any inference-control surface that conditions admission of a policy bundle on machine-checked internal consistency, signs admitted bundles, binds the signature into the lineage of every call governed by the bundle, and evaluates per-call transitions against the signed bundle within the inference loop. The mechanism is independent of the underlying inference architecture, the predicate vocabulary, the satisfiability procedure, and the signature scheme.

Embodiments described in the cognition patent specification illustrate one realization of the mechanism. The disclosure is not limited to that realization. The claims encompass any system whose policy admission, signature binding, and per-step evaluation together produce the structural properties recited above, regardless of the surface form of the policies, the implementation language of the gate, or the deployment topology of the inference runtime.