Recursive self‑modeling engine — the “who” layer of KETER‑PRIME‑KDIF
PRIME maintains the system’s recursive self‑model — an evolving representation of its own identity, capabilities, resource bounds, and cognitive state.
In the KETER‑PRIME‑KDIF stack:
- KETER = goal sovereignty (why)
- PRIME = recursive self‑modeling (who)
- KDIF = distributed inference (how)
Without PRIME, the system cannot answer “Who is acting?” or “What are my limits?”
| Concept | Description |
|---|---|
| Self‑model | A dynamic graph of identity, skills, state, and history |
| Recursive modeling | The self‑model includes a model of itself (allows introspection) |
| Drift detection | When the model diverges from actual behavior, PRIME corrects |
| Capability registry | What the system can do, with resource costs and confidence |
- KETER proposes a goal.
- PRIME checks: Does this align with current identity? Do we have resources?
- If yes, PRIME passes subgoals to KDIF for execution.
- Results update the self‑model (learning what worked, what failed).