Artificial Ontological Intelligence

sookoothaii
Sun, 28 Dec 2025 20:29:41 +0000

Your paper on Artificial Ontological Intelligence (AOI) provides the necessary theoretical vocabulary for a transition we are currently observing in high-reliability AI engineering. We agree with the diagnosis: The “Predictive Plateau” is real. Stochastic next-token prediction cannot, by definition, produce stable ontological commitments.

From the perspective of AI Security & Orchestration, we are actively building what you describe as the Symbiotic Resonance Substrate (SRS), specifically the interface between the Core Axiomatic Lattice (CAL) and the Dynamic Emergence Field (DEF).

Here is how we translate your architectural motifs into concrete security invariants:

1. The “Axiomatic Lattice” is not a Model, but a Governor.
We argue that current LLMs (the DEF) are incapable of holding the CAL internally due to their probabilistic nature. Therefore, the CAL must be externalized.
In our architecture, this is the Orchestrator/Firewall:

Fail-Closed Invariants: We enforce axioms (e.g., “No unverified tool execution”) that purely probabilistic models inevitably violate under adversarial pressure.

Strict Ontology Enforcement: By implementing Strict JSON Parsing (RFC 8785) and Hash-and-Bind mechanisms, we force the fluid “hallucination” of the model into a rigid, verifiable ontological structure before it touches reality.

2. AICOE as Intelligent Routing.
Your Adaptive Integration & Cognitive Orchestration Engine (AICOE) maps directly to our Intelligent Router. We do not let the model “drift” between modes. We explicitly route requests based on semantic risk:

High Entropy/Risk: Routed to a “Judge Ensemble” (Axiomatic Scrutiny).

Low Risk: Routed to the “Fast Path” (Exploratory Emergence).
This separation of concerns is the prerequisite for stable self-identity in AI systems.

3. “Reflectus” via SRF (Stone Retrieval Function).
We are experimenting with Episodic Memory (based on SRF) to solve the “Transient Persona” problem. By penalizing retrieval vectors that led to past failures (e.g., successful jailbreaks), the system develops a Negative Ontology (“I am the system that does not do X”), which persists across sessions. This is a primitive form of the stable symbolic identity you propose.

Conclusion:
We posit that AOI will not emerge from scaling transformers larger. It will be engineered by wrapping stochastic models in deterministic, axiomatic control loops. We are building that exoskeleton today.

If you are interested in how “Ontological Intelligence” performs when subjected to adversarial “Red Teaming” (e.g., cross-cultural social engineering attacks that exploit semantic drift), we would be happy to share our findings.