元收敛认知引擎 MCCE V10.0‑GA‑Light:跨学科通用公理发现与问题重构认知审计协议

本预印本为元收敛认知引擎 MCCE V10.0‑GA‑Light(轻量版,封版定稿,2026‑08‑23)完整技术协议文档。

本版本在V9.0‑PRCA阶段‑1问题重构协议基础上,新增生成‑审计(G‑A)强制分离架构,实现从被动审计答案、重构问题,升级为对候选公理执行主动反例审计的范式跃迁。

体系保留永久不变的三层刚性核心架构:三元公理+四联判据+三区置信度内核判定体系、L1/L2/L3命题分层机制、三条跨层绝对禁令;V10.0新增三条跨体禁令,划分G生成体、A审计体、H人类否决者权责,H层拥有初始配置权、中途干预权、抽样复核权、循环冻结权、最终裁决权五大权力。

实现三大主动反例搜索策略:边界侵蚀、基底置换、极端场景推演;配套反例多样性校验等四条补偿规则;提供两种运行模式:①手动分步触发模式,单人+手机AI即可执行;②G‑A自动迭代模式,适用于PC/云端。关闭G‑A分离模块可完整降级回退至V9.0‑PRCA版本,保持全版本向下兼容。

继承V8.4‑LAPE全域认知收敛成果:覆盖14个核心学科域、7个高价值行业、4大国家级复杂系统场景、5组主流文明认知体系,建立Ψ₁/Ψ₂/Ψ₃三轴认知分析框架,揭示基底声明缺失、正反馈盲区、失效边界未定义是跨学科、跨行业普遍的结构性认知缺陷。

文档包含完整实操流程、JSON数据范式、AI防幻觉校准口令、全套附录实验档案、已知盲区登记表、路线图。定位为完整闭环公理发现体系路线图的阶段1基线完成态。

重要声明:MCCE属于辅助性元方法论协议,不宣称产出绝对真理,全部推演结论开放外部复核与证伪通道;全自动无人值守模式强制关闭G‑A模块。

本记录为版本迭代快照,旧版本V9.0‑PRCA可在本概念DOI下查阅;发布后PDF文件不可修改,若需修正内容,需通过New‑version生成新版本。请引用本版本分配的子DOI。

This preprint is the full finalized technical protocol of Meta‑Convergence Cognitive Engine MCCE V10.0‑GA‑Light (light‑weight edition, locked release, 2026‑08‑23).

Built upon the Phase‑1 problem‑reconstruction protocol of V9.0‑PRCA, this release introduces the mandatory Generator‑Auditor (G‑A) separated architecture, realizing a paradigm shift: from passively auditing answers and reconstructing questions toward active counterexample‑driven auditing for axiom candidates.

The framework preserves its permanent three‑tier core architecture: triple‑axiom kernel, four‑joint judging criteria, three‑zone confidence evaluation, L1/L2/L3 proposition stratification, and three rigid cross‑layer prohibitions. V10.0 adds three new cross‑entity prohibitions, clarifying the roles of Generator(G), Auditor(A), and Human Veto(H). The human‑operator H holds five authorities: initial configuration, mid‑run intervention, sampling review, loop freeze, and final adjudication.

Three active counterexample‑searching strategies are implemented: boundary erosion, substrate replacement, extreme‑scenario deduction, alongside four compensation rules including counter‑example diversity validation. Two operating modes are supported: ① manual step‑by‑step mode, operable with single‑operator plus mobile‑phone AI; ② automatic iterative mode for PC or cloud deployment. Disabling the G‑A separation module enables full backward compatibility with V9.0‑PRCA.

It inherits global cognitive‑convergence results from V8.4‑LAPE, covering 14 core disciplines, 7 high‑value industries, 4 national‑grade complex‑system scenarios, and 5 major civilizational cognitive systems. The Ψ‑three‑axis framework reveals that missing substrate declaration, positive‑feedback blind spots, and undefined failure boundaries are universal structural cognitive defects across domains.

The manuscript includes complete executable workflows, JSON schema specifications, anti‑hallucination calibration prompts for AI, full experimental appendices, known‑blind‑spot register, and roadmap. This version is positioned as **Phase‑1 baseline completion state** of the closed‑loop axiom‑discovery roadmap.

Important note: MCCE is an auxiliary meta‑methodology protocol and does not claim to produce absolute truth. All reasoning outputs are open for external review and falsification. The G‑A module is forcibly disabled under fully‑unattended automatic mode.

This record is a versioned snapshot. The prior release V9.0‑PRCA remains accessible under the same concept DOI. Once published, the attached PDF cannot be modified; any revisions shall be submitted via the “New version” workflow. Please cite the version‑specific child DOI assigned to this release.

【作者责任声明】

本《元收敛认知引擎(MCCE) V9.0》全套框架、五条核心公理、推演流程、参数、实验方案均由人类作者独立原创设计;手版AI仅承担计算推演、参数试算、文本排版与辅助工作,不参与底层理论创造、核心判定与辅助决策;全部推演、数据、结论经人工核验,作者对全文学术内容独立承担责任。