論文PAP-2026-0103v0.1
從認知到神經元：人腦如何跨層測量智能計算
向認知科學與神經科學借方法而非數字：Marr 三層擴成五層、resource-rational 的操作成本、擴散模型的潛變量推斷、編碼—解碼對偶、群體編碼、因果擾動、10 bits/s 的教訓；得出跨層三角化與 μI 的 D–A+ 測量等級。
紀錄
publication_type- series paper (Intelligence Physical Metrology series, 10 papers); 公開純理論論文, 無 MVP
authors- Neo.K (EveMissLab)
date- 2026-09-02
doi_or_external_id- EML-IPM-03
source_artifact- IPM_03_從認知到神經元_v0.1.zip!/IPM_03_從認知到神經元_人腦如何跨層測量智能計算_v0.1.md
記錄欄位
checksumspaper .md sha256- 3a1996da839c94367b1d6ffb69ce12309bc51b330b120aa181c514a0793daead
tags- zh-TW
- canonical UTF-8 Markdown
- paper 3/10
- role: 跨層測量與證據三角化
關係
| 來源 | 關係 | 目標 | 狀態 | ID |
|---|---|---|---|---|
PAP-2026-0103 從認知到神經元：人腦如何跨層測量智能計算 | reports | RES-2026-0101 執行與物理線——一個答案在回合、語意工作、能量與計算時空上的代價 | ACTIVE | REL-2026-0399 |
PAP-2026-0103 從認知到神經元：人腦如何跨層測量智能計算 | formalizes | THY-2026-0103 跨層證據三角化與測量等級 | ACTIVE | REL-2026-0400 |
PAP-2026-0103 從認知到神經元：人腦如何跨層測量智能計算 | packaged_as | ART-2026-0104 EML-IPM Paper 03 — canonical UTF-8 Markdown + manifest (zip) artifact://evemisslab/intelligence-physical-metrology/IPM_03_從認知到神經元_v0.1.zip | ACTIVE | REL-2026-0401 |
PAP-2026-0103 從認知到神經元：人腦如何跨層測量智能計算 | packaged_as | ART-2026-0101 EML-IPM v0.1 canonical series package — 10 papers + canonical index + SHA-256 manifest (UTF-8 Markdown) artifact://evemisslab/intelligence-physical-metrology/IPM_v0.1_Canonical_Series_Package.zip | ACTIVE | REL-2026-0402 |
歷史與來源歷程
- Canonical URL
- https://evemisslab.com/ai/papers/PAP-2026-0103/
- 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