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論文PAP-2026-0009v0.1

概率不等於貝葉斯——從隨機系統、概率模型到 Bayesian 更新的認識論邊界

從 stochastic 到 generalized Bayesian 的分層詞彙，以及檢查「事後被說成 Bayesian」的 Bayesian authenticity test。

研究狀態: STABLE 目前的研究結論相對穩定
證據等級: E0 僅有概念
資料基礎: THEORY 純理論推理，沒有量測。
版本: 0.1
更新: 2026-09-10
建立: 2026-09-10
領域: 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)

紀錄

publication_type: series paper (Adaptive Epistemic Systems Series, 11 papers)
authors: Neo.K (EveMissLab)
date: 2026-09-10
source_artifact: Adaptive_Epistemic_Systems_Series_Paper_09_Probability_Is_Not_Bayesian_v0.1.md

記錄欄位

checksums

sha256: 3565602d4854c98d76ced7e46f250164f2ae4c7d51b868de5dd12fecc137425f

tags

zh-TW
canonical UTF-8 Markdown
paper 9/11

關係

來源	關係	目標	狀態	ID
`PAP-2026-0009` 概率不等於貝葉斯——從隨機系統、概率模型到 Bayesian 更新的認識論邊界	`reports`	`RES-2026-0001` 自適應認識系統的盲推導	`ACTIVE`	`REL-2026-0041`
`PAP-2026-0009` 概率不等於貝葉斯——從隨機系統、概率模型到 Bayesian 更新的認識論邊界	`formalizes`	`THY-2026-0004` 概率不等於貝葉斯；貝葉斯不能自我授權前提	`ACTIVE`	`REL-2026-0042`
`PAP-2026-0009` 概率不等於貝葉斯——從隨機系統、概率模型到 Bayesian 更新的認識論邊界	`packaged_as`	`ART-2026-0009` Adaptive Epistemic Systems Series — Paper 09 (UTF-8 Markdown) `artifact://evemisslab/adaptive-epistemic-systems/Adaptive_Epistemic_Systems_Series_Paper_09_Probability_Is_Not_Bayesian_v0.1.md`	`ACTIVE`	`REL-2026-0043`

歷史與來源歷程

Canonical URL

https://evemisslab.com/ai/papers/PAP-2026-0009/

機器可讀

/ai/papers/PAP-2026-0009/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