system-autonomously-converges-and-self-corrects
OUT derived (depth 6)
The system autonomously reaches and maintains consistent states through two complementary mechanisms: passive convergence ensures every modification path (import, retraction, dedup) reaches a deterministic stable state, while active self-correction (contradiction resolution and staleness detection) ensures consistency is preserved over time — combining equilibrium-seeking with consistency-maintaining.
Summary
The system is claimed to keep itself consistent automatically through two mechanisms: it naturally settles into stable states after any change (like imports or retractions), and it actively detects and fixes problems like contradictions or stale data. This belief is currently marked OUT, meaning one or both of its supporting claims — that all modification paths converge to equilibrium, or that the system is fully self-correcting — are not currently held, so this combined guarantee does not stand.
Justifications
SL — Passive convergence (depth-5) and active self-correction (depth-4) are complementary — together they ensure the system both reaches and sustains correct states
Antecedents (all must be IN):
- system-reaches-equilibrium-from-all-modification-paths — The system converges to deterministic stable states through every modification path: import achieves ordered convergent reconciliation (add → propagate → retract sequencing with fixpoint convergence), retraction cascades terminate through BFS with stop-on-unchanged, and both addition and removal operations reach equilibrium — no modification can leave the system in a non-convergent state.
- complete-system-is-self-correcting — The system actively maintains its own consistency along two independent dimensions: the TMS core handles exceptional conditions (contradictions trigger deterministic resolution, propagation respects lifecycle state), while belief currency management detects and surfaces drift in source material — no inconsistency persists undetected or unresolved.
Dependents
These beliefs depend on this one:
- autonomous-convergence-preserves-trust-boundaries — The system simultaneously achieves autonomous self-maintenance (converging to deterministic stable states while actively detecting and resolving inconsistencies) AND comprehensive boundary enforcement (architectural trust through self-containment and information flow control through authorization and budget constraints) — convergence never requires relaxing defensive controls, and boundary enforcement never prevents convergence.
- convergence-produces-evaluation-invariant-equilibria — The system converges to equilibrium states where truth evaluation is transformation-invariant: regardless of the mutation path taken — order of additions, retractions, challenges, imports — the converged state evaluates all beliefs identically, because autonomous convergence reaches deterministic stable states and truth evaluation is agnostic to both temporal context and structural origin.