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實驗EXP-2026-0008v0.1

PACC-Lab v0.1——E0–E4:第一個微型見證

三個 primitive 層的非概率系統(N0 帶號支持、N1 序數錦標賽、N2 帶號圖)在四個隱藏假設上整合證據,旁邊是精確的 Bayesian 參考。三者在均勻與異質證據品質下都通過 Level-3 微型準則——held-out JS ≤ 0.0101、更新 JS ≤ 0.0042、干預 JS ≤ 0.0058、行動一致度 ≥ 0.957——shuffled-target 控制組約 0.31–0.33。冗餘診斷把 N0 與 N1 合併為一個精確重參數化家族,獨立家族只剩兩個,未達 PACC-A 最低要求三個。

研究狀態
STABLE 目前的研究結論相對穩定
證據等級
E3 重複實驗
結果
MIXED
資料基礎
SYNTHETIC 合成數據與理論推理。現在很多人把合成數據當成真的;這個實驗室刻意反過來說——在真正的混合模型出現之前,推論就只是推論,理論上可能不等於實際上可能。
版本
0.1
更新
2026-09-08
建立
2026-09-08
領域
Model Representation, Evaluation, Formal AI
計畫
PRG-2026-0001 自適應世界狀態系統的第一原理框架
作者
Neo.K (EveMissLab)
AI 協作
Sol (GPT-5.6, OpenAI ChatGPT)

假設

hypothesis
A system whose canonical state and update rules do not require probability can converge toward a Bayesian reference in behaviour, held-out state representation and update dynamics.

設定

model_ids
dataset_ids
benchmark_ids
software_environment
Python; deterministic seeded generators; no network, no LLM.

執行

run_count
2
random_seeds
  • 20260908
  • 8 fixed secondary seeds (post-hoc)
controls
  • shuffled-target mapping
  • constant prediction
  • broken composition (v0.6+)
  • target-local refit (v0.7+)
metrics
verdict
PRELIMINARY_PACC_B_R_D_MICRO_WITNESS_WITHOUT_STRONG_ATTRACTOR_CLOSURE
e0_purity
true
uniform
N0
agreement
0.983073
heldout_js
0.000192
update_js
5.2e-05
intervention_js
6.1e-05
shuffled_js
0.322816
N1
agreement
0.983073
heldout_js
0.000192
update_js
5.2e-05
intervention_js
6.8e-05
shuffled_js
0.312444
N2
agreement
0.957465
heldout_js
0.008053
update_js
0.003872
intervention_js
0.005756
shuffled_js
0.309444
heterogeneous
N0
agreement
0.983073
heldout_js
0.002878
update_js
0.000559
intervention_js
0.000645
N2
agreement
0.958767
heldout_js
0.010109
update_js
0.004186
intervention_js
0.004187
independent_families
2
strong_attractor_minimum
3
secondary_8_seed_pass_rate
1.0

詮釋

interpretation
Non-probabilistic primitives can exhibit probability-like state and update structure in controlled micro-tasks; two independent convergent families are not enough to establish a computational attractor. Under uniform reliability additive signed support is closely related to rescaled log-evidence accumulation — the heterogeneous stress makes the result less trivial, not deeply equivalent.

限制

limitations
  • Does not show probability is false, Bayesian inference unnecessary, LLM internals equivalent, non-probabilistic systems superior, or probability an observer projection.
  • E4 dynamic-world numbers are descriptive only (HMM hazard and decay untuned).

重現

reproduction_instructions
Extract the version's FINAL bundle; python -m pytest -q; run the version's primary script with the recorded seed; docs/PACC_LAB_v0.N_RESULTS.md and docs/EXPERIMENT_PROTOCOL_v0.N.md are inside the bundle.

結果

來源關係目標狀態ID
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證producesRST-2026-0006 v0.1 主要表:N0/N1/N2 皆 Level 3,兩個家族ACTIVEREL-2026-0166

記錄欄位

completed_at
2026-09-08

關係

來源關係目標狀態ID
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證runs_onSYS-2026-0002 PACC-Lab——收斂猜想的微型實驗室ACTIVEREL-2026-0156
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證uses_benchmarkBEN-2026-0001 PACC 微型實驗室協定 v0.1(凍結門檻)ACTIVEREL-2026-0157
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證uses_datasetDAT-2026-0001 PACC 合成證據世界ACTIVEREL-2026-0158
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證uses_modelMOD-2026-0001 N0——帶號支持ACTIVEREL-2026-0159
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證uses_modelMOD-2026-0002 N1——序數錦標賽ACTIVEREL-2026-0160
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證uses_modelMOD-2026-0003 N2——帶號圖ACTIVEREL-2026-0161
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證uses_modelMOD-2026-0004 N3——約束競爭ACTIVEREL-2026-0162
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證uses_modelMOD-2026-0005 Bayesian 參考(精確後驗/Beta-Bernoulli/聯合共同因/HMM)ACTIVEREL-2026-0163
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證testsTHY-2026-0005 PACC 猜想——四層收斂階梯ACTIVEREL-2026-0164
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證producedART-2026-0021 PACC-Lab v0.1 E0-E4 FINAL artifact://evemisslab/adaptive-epistemic-systems/PACC-Lab_v0.1_E0-E4_FINAL.zipACTIVEREL-2026-0165
EXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證producesRST-2026-0006 v0.1 主要表:N0/N1/N2 皆 Level 3,兩個家族ACTIVEREL-2026-0166
EXP-2026-0009 PACC-Lab v0.2——第三個家族(N3)與對抗性證據幾何extendsEXP-2026-0008 PACC-Lab v0.1——E0–E4:第一個微型見證ACTIVEREL-2026-0178

歷史與來源歷程

Canonical URL
https://evemisslab.com/ai/experiments/EXP-2026-0008/
機器可讀
/ai/experiments/EXP-2026-0008/index.json
快照
AI-SNAPSHOT-v0.1-fe85b9694a45
來源歷程
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