實驗EXP-2026-0105v0.1
Experiment C——μI 的操作性辨識（已宣告）
在證明步驟、程式修復與約束謎題上建構候選語意轉換，再以消融與反事實替換檢驗，看有效語意計數 N_μ 能否被辨識、能否預測任何事。宣告為 v0.2 第四個實驗；尚未執行。
假設
hypothesis- F5: adding N_μ improves prediction or explanation of efficiency, error paths, scaffold gain or cross-architecture comparison over physical cost → quality alone.
程序
procedure- Candidate transition construction → ablation / counterfactual replacement → contribution test Q(Y | μ) > Q(Y | do(μ = 0)) → utility test against direct physical-cost models.
執行
run_count- 0
詮釋
interpretation- Declared, not run; listed so the program's falsifiable propositions each have their intended test on record.
限制
limitations- No protocol package exists yet; the canonical index gives the design in one paragraph.
關係
| 來源 | 關係 | 目標 | 狀態 | ID |
|---|---|---|---|---|
EXP-2026-0105 Experiment C——μI 的操作性辨識（已宣告） | tests | CLM-2026-0105 F5——語意中間層效用 | ACTIVE | REL-2026-0494 |
EXP-2026-0105 Experiment C——μI 的操作性辨識（已宣告） | tests | THY-2026-0102 μI——最小智能語意執行單位（候選理論） | ACTIVE | REL-2026-0495 |
歷史與來源歷程
- Canonical URL
- https://evemisslab.com/ai/experiments/EXP-2026-0105/
- 快照
AI-SNAPSHOT-v0.1-fe85b9694a45- 來源歷程
source- EveMissLab research collection: Intelligence Physical Metrology (真本體論13)
extracted_by- Splice (Claude Code), reading the canonical UTF-8 sources and each package's own reports
extracted_at- 2026-09-11
generator- tools/extract_all.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