Teleodynamic AI self-maintaining learning systems

Evidence and QA

Evaluation framework

A teleodynamic system should be judged by viability, structural history, compatibility, stability, interpretability, and human comprehension, not only nearest-neighbor scores.

Metric families.

Unicode compatibility

Normalization correctness, grapheme segmentation, valid sequence recognition, and private-use policy enforcement.

Retrieval quality

Top-k accuracy, rank stability, cross-space agreement, ontology-filter pass rate, and long-tail recall.

Structural fidelity

Primitive extraction accuracy, relation graph quality, ablation sensitivity, and SVG/raster consistency.

Semantic stability

Phase-lock score, drift over model versions, context robustness, and neighborhood consensus.

Human comprehension

Open-ended interpretation, forced-choice recognition, confusion matrices, and cohort-specific performance.

Operational viability

Latency, review budget, failed cases, fallback rate, R(t) retention, and evidence trace completeness.

Structural economy

Action rate, no-op dominance, complexity burden, merge/retire behavior, and predictive gain per unit cost.

Acceptance gates.

GatePass conditionFailure response
Public outputAssigned character or valid public sequence.Return unresolved or internal-only status.
OntologyCandidate meaning obeys type and relation constraints.Downgrade confidence or request review.
Cross-space evidenceVisual, structural, and semantic retrieval do not contradict each other.Keep multiple candidates and expose uncertainty.
StabilityInterpretation holds across contexts, renderings, and versions.Mark emerging or drifting.
Human reviewTarget users meet comprehension threshold.Revise glyph, label, ontology, or documentation.
Resource closureStructural actions are feasible only when R(t) can pay declared cost.Block action, no-op, or retire unsupported structure.
AuditabilityA third party can reconstruct the slow-loop decision from the trace.Reject interpretability claim until trace is complete.

Risk register.

  • Vagueness: teleodynamic language becomes metaphor unless tied to measurable observables.
  • Governance: private glyphs masquerade as public authority if provenance is hidden.
  • Security: homoglyphs, bidi controls, and visually confusable symbols can mislead readers.
  • Bias: common scripts and icon cultures may dominate long-tail interpretation.
  • Overfitting: font or rendering artifacts can be mistaken for meaning.

Operational standard

Every interpretation should be reversible into an evidence trace: input form, normalization, decomposition, candidate retrieval, ontology checks, R(t), action alternatives, stability status, and final public rendering decision.

Plots that matter.

Stability plot

Structural actions per 1,000 inputs should rise during discovery, plateau after stabilization, and rise again under genuine novelty.

Pareto front

Accuracy, complexity, and energy consumed should be plotted together so oversized structures do not hide behind accuracy alone.

Viability retention

Track the proportion of time R(t) stays above the viability floor during normal work and distribution shift.

Review worksheet.

Glyph review record
- Input glyph / sequence:
- Public Unicode status:
- Normalized forms checked:
- Primitive decomposition:
- Top visual neighbors:
- Top semantic neighbors:
- Ontology pass/fail:
- Stability score:
- Human comprehension result:
- Final status: stable / emerging / drifting / rejected