元收敛认知引擎 MCCE V9.0‑PRCA:跨学科通用公理发现与问题重构认知审计协议

Description

Abstract (Chinese)

元收敛认知引擎(Meta‑Convergence Cognitive Engine, MCCE)V9.0‑PRCA是一套立足于先验认识论、可证伪、支持外部独立核验的人机协同公理发现与复杂系统推演协议。前代基线版本V8.4‑LAPE完成学科、行业、真实场景、跨文明四大维度全域认知收敛,建立L1底层公理集与Ψ三轴元‑元公理框架,揭示Ψ1基底缺失、Ψ2正反馈盲区、Ψ3边界缺失是人类复杂认知普遍存在的结构性缺陷。V9.0‑PRCA新增阶段‑1问题重构协议,实现范式升维:在审计推演答案之前,完成原始问题审计,包含隐含预设识别、重构候选生成、Ψ三轴评估、可检验预测外部注册、强制溯源锁。体系保留三层刚性架构:Core内核判定体系、L1/L2/L3命题分层、三条跨层绝对禁令。阶段‑1为可开关模块,关闭后完整回退至V8.4‑LAPE基线。本协议为人机协同辅助推演工具,人类操作员拥有最终终审权限,支持单人结合消费级手机AI完成全部流程。本版本标记为完整闭环公理发现体系路线图阶段0完成态,不作为理论终点,为后续G‑A‑E‑S四体闭环迭代奠定基础。

English Abstract

Meta‑Convergence Cognitive Engine (MCCE) V9.0‑PRCA is a falsifiable, externally‑verifiable human‑AI collaborative protocol for axiom discovery and complex‑system reasoning grounded in transcendental epistemology. Its baseline predecessor V8.4‑LAPE achieved global cognitive convergence across disciplines, industries, real‑world scenarios and cross‑civilization dimensions. It established the L1 axiom set and the Ψ three‑axis meta‑axiom framework, identifying three pervasive structural cognitive flaws in human complex cognition: Ψ1 ground‑base deficiency, Ψ2 positive‑feedback blind spot, and Ψ3 boundary omission. V9.0‑PRCA introduces the Phase‑1 Problem‑Reconfiguration Protocol for paradigm upgrade: auditing original problems prior to auditing reasoning outputs. The workflow covers implicit‑presupposition detection, reconfiguration‑candidate generation, Ψ three‑axis evaluation, external registration of testable predictions, and mandatory provenance‑lock mechanism. Three rigid architectural pillars are preserved: the Core judging system, L1/L2/L3 proposition stratification, and three absolute cross‑layer prohibitions. Phase‑1 is toggle‑able; disabling it fully falls back to the V8.4‑LAPE baseline. As an auxiliary human‑AI reasoning protocol, human operators hold final adjudication authority. The full workflow can be executed by a single operator with consumer‑grade mobile‑device AI. This release is designated as the Phase‑0 Completed State on the full‑closed‑loop axiom‑discovery roadmap. It is not presented as theoretical finality and lays foundations for future G‑A‑E‑S four‑agent closed‑loop iteration.