ExperimentEXP-2026-0005v0.1
R4 — policy mutation surface: scattered governance vs one mandatory boundary
For N ∈ {1, 4, 16, 64} canonical-write callers and R = 6 governance rules, policy sites and rule placements grow as N and N·R under scattered governance versus 1 and R under either a central application gate or AER-ECT; a new rule needs N caller edits versus one; a 75 % caller-local migration leaves 16 of 64 callers on the old contract. The counterweight is explicit: one omitted local rule has blast radius 1/N, a defect in the shared gate has blast radius 1, and under an equal-p toy omission model the expected exposed-caller fraction is identical for all three systems.
Hypothesis
hypothesis- Elevating epistemic governance into one mandatory boundary reduces policy scattering, migration surface and drift opportunity — without magically reducing expected harm.
Setup
software_environment- Python 3.11+, SQLite; no network, no external database, no LLM API required.
Procedure
procedure- Deterministic structural benchmark plus executable AER regression; CENTRAL_GATE and AER-ECT predicted and observed identical on policy topology.
Runs
run_count- 1
metricsverdict- CENTRALIZATION_REDUCES_SCATTERING_NOT_COMPUTATIONAL_CAPABILITY
rules- 6
callers- 1
- 4
- 16
- 64
at_64_callersscatteredpolicy_sites- 64
rule_placements- 384
blast_radius_one_omission- 0.015625
migration_edits- 64
vulnerable_after_75pct_migration- 16
central_gate_and_aer_ectpolicy_sites- 1
rule_placements- 6
blast_radius_one_omission- 1.0
migration_edits- 1
vulnerable_after_75pct_migration- 0
toy_omission_model_p_0_01P_any_scattered- 0.9789
P_any_central- 0.0585
expected_exposed_caller_fraction_all_systems- 0.0585
Interpretation
interpretation- Centralization changes the distribution of failure — fewer opportunities for many small local defects, few opportunities for large shared ones — and makes new business callers free of policy replication. AER-ECT is reference-monitor-like (always invoked on the normal write path), not proven tamperproof.
Limitations
limitations- A model with an explicit toy assumption, not empirical defect data; 97.89 % is not a real-world defect rate.
- Distributed replica/version skew of the central gate, hostile bypass and tamperproofness not modelled.
Reproduction
reproduction_instructions- Extract the round's FINAL bundle; python -m pytest -q; python -m examples.research_assistant_demo; python -m benchmarks.<round benchmark>. Checksums in SHA256SUMS.txt.
Recorded fields
completed_at- 2026-09-08
Relations
| Source | Relation | Target | Status | ID |
|---|---|---|---|---|
EXP-2026-0005 R4 — policy mutation surface: scattered governance vs one mandatory boundary | runs_on | SYS-2026-0001 AER-0 — Adaptive Epistemic Runtime MVP | ACTIVE | REL-2026-0137 |
EXP-2026-0005 R4 — policy mutation surface: scattered governance vs one mandatory boundary | uses_benchmark | BEN-2026-0002 AER-0 architecture-comparison suite (R1–R6) | ACTIVE | REL-2026-0138 |
EXP-2026-0005 R4 — policy mutation surface: scattered governance vs one mandatory boundary | tests | THY-2026-0006 AER-ECT: a mandatory epistemic commit transaction boundary | ACTIVE | REL-2026-0139 |
EXP-2026-0005 R4 — policy mutation surface: scattered governance vs one mandatory boundary | extends | EXP-2026-0004 R3 — epistemic commit transaction vs scattered and centralized application gates | ACTIVE | REL-2026-0140 |
EXP-2026-0005 R4 — policy mutation surface: scattered governance vs one mandatory boundary | produced | ART-2026-0018 AER-0 MVP v0.1 Architecture Comparison R4 Policy Mutation artifact://evemisslab/adaptive-epistemic-systems/AER-0_MVP_v0.1_Architecture_Comparison_R4_Policy_Mutation.zip | ACTIVE | REL-2026-0141 |
EXP-2026-0006 R5 — complete mediation and bypass resistance | extends | EXP-2026-0005 R4 — policy mutation surface: scattered governance vs one mandatory boundary | ACTIVE | REL-2026-0145 |
History and provenance
- Canonical URL
- https://evemisslab.com/ai/experiments/EXP-2026-0005/
- Machine-readable
/ai/experiments/EXP-2026-0005/index.json- Snapshot
AI-SNAPSHOT-v0.1-fe85b9694a45- Provenance
source- EveMissLab research collection: Adaptive Epistemic Systems (真本體論13)
extracted_by- Splice (Claude Code), reading the canonical UTF-8 sources and each lab's own result reports
extracted_at- 2026-09-11
generator- tools/extract_aes/extract.py
claim_boundary- status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports