Deterministic Reasoning Engine Phase I Prototype

VERITAS

The logical backbone of the CAI stack — a formal reasoning engine where governed inference chains are mathematically constrained, auditable from premise to conclusion, and designed to resist stochastic drift. Governed conclusions are designed to be derived from stated premises and traceable proof paths.

Type Deterministic Reasoning Engine

Role Traceable Inference Layer

Integration CORTEX / CEREBRAL / CERTUS

CORTEX Cortical Substrate

CEREBRAL Neuro-Symbolic Layer

VERITAS Deterministic Reasoning

CERTUS Governance Control

Doctrine

Statistical approximation is acceptable in many domains. In high-consequence autonomous systems, it requires deterministic control boundaries. VERITAS is engineered to reduce inference drift by making governed conclusions formally derivable, reasoning paths inspectable, and unsupported stochastic conclusions constrained within GPX-controlled decision paths.

Core Architecture

Formal Logic Substrate (GPX)

Built on a Guided Provable eXecution (GPX) substrate that constrains governed inference within a formal logical calculus. Conclusions are derived from stated premises rather than unsupported stochastic interpolation.

Deterministic Inference Graphs

Reasoning steps are represented as nodes in an auditable directed graph. Derivation paths from input premise to governed conclusion are designed to be preserved, traversable, and exportable for review.

Contradiction Detection

Active contradiction monitoring across live reasoning threads. Conflicting premises are flagged, isolated, and surfaced to CAI before governed downstream action is permitted, reducing the risk of decisions built on inconsistent knowledge states.

Proof-Traceable Conclusions

Validated VERITAS outputs are designed to include compact proof certificates linking conclusions to authorizing premises, supporting independent review without re-executing the full inference chain.

System Metrics

Inference Determinism Identical inputs Produce identical outputs across validated deterministic test paths

Conclusion Traceability Proof certificates Generated for validated VERITAS outputs

Logic Consistency >99.97% Internally observed across test scenario corpus

Readiness Phase I Prototype Formal verification in progress

GPX Chain-of-Proof: Privilege Escalation Detection

VERITAS GPX Reasoning Engine — 7-step chain-of-proof pipeline diagram

Architectural Position

Upstream Relationship

VERITAS receives structured signal representations from CORTEX and symbolic knowledge constructs from CEREBRAL, applying formal inference to convert structured inputs into proof-traceable conclusions for governed decision support.

Operational Function

Maintains concurrent inference threads for active evaluation scenarios, detecting contradictions across threads, managing premise confidence weighting, and issuing conclusions with explicit confidence bounds and derivation certificates.

Downstream Outputs

VERITAS conclusions are passed to CERTUS for governance evaluation and to CAI for cognitive state integration. Validated conclusions are designed to include machine-readable proof bundles supporting downstream verification.

Primary Applications

High-Assurance Decision Support

Proof-traceable reasoning for environments where decision auditability is a legal or operational requirement.

Adversarial Reasoning Validation

Contradiction detection and logic integrity verification in adversarial information environments.

Explainable AI Compliance

Formal reasoning output for programs requiring demonstrable explainability under regulated AI assurance and acquisition frameworks.