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論文PAP-2026-0007v0.1

盲推導 AI——不同第一原理是否收斂到同一工程形態？

把前六篇視為一次盲推導實驗，提出比較協定與五種相似性層級，用來對照現代 AI。

研究狀態: STABLE 目前的研究結論相對穩定
證據等級: E1 內部觀察
資料基礎: THEORY 純理論推理，沒有量測。
版本: 0.1
更新: 2026-09-08
建立: 2026-09-08
領域: AI Architecture
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)

紀錄

publication_type: series paper (Adaptive Epistemic Systems Series, 11 papers)
authors: Neo.K (EveMissLab)
date: 2026-09-08
source_artifact: Adaptive_Epistemic_Systems_Series_Paper_07_Blind_Derivation_and_AI_Architecture_Convergence_v0.1.md

記錄欄位

checksums

sha256: 2a0626405e60d8e57ec1b960272f06283caa32d53f33837e634a026360b7c172

tags

zh-TW
canonical UTF-8 Markdown
paper 7/11

關係

來源	關係	目標	狀態	ID
`PAP-2026-0007` 盲推導 AI——不同第一原理是否收斂到同一工程形態？	`reports`	`RES-2026-0001` 自適應認識系統的盲推導	`ACTIVE`	`REL-2026-0035`
`PAP-2026-0007` 盲推導 AI——不同第一原理是否收斂到同一工程形態？	`formalizes`	`THY-2026-0003` 智能架構吸引子	`ACTIVE`	`REL-2026-0036`
`PAP-2026-0007` 盲推導 AI——不同第一原理是否收斂到同一工程形態？	`packaged_as`	`ART-2026-0007` Adaptive Epistemic Systems Series — Paper 07 (UTF-8 Markdown) `artifact://evemisslab/adaptive-epistemic-systems/Adaptive_Epistemic_Systems_Series_Paper_07_Blind_Derivation_and_AI_Architecture_Convergence_v0.1.md`	`ACTIVE`	`REL-2026-0037`

歷史與來源歷程

Canonical URL

https://evemisslab.com/ai/papers/PAP-2026-0007/

機器可讀

/ai/papers/PAP-2026-0007/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