中文全称:元收敛认知引擎(MCCE)V8.3-LAPE 跨学科通用因果动力学评估语言

Description

Abstract (Chinese)

Concise Plain‑Language Abstract (V8.3‑LAPE Integrated Release)
 
MCCE V8.3 is an auxiliary axiom‑discovery protocol built upon a priori epistemological foundations, driven by layered auditing and equipped with built‑in boundary‑violation prevention mechanisms. It decomposes ambiguous, complex problems into structured analyzable models, accurately assesses the credibility level of theories and conclusions, and generates batches of falsifiable candidate axioms with paradigm‑shifting potential.
 
This framework targets four core scenarios: individual decision‑making, organizational strategic forecasting, complex‑system governance, and AGI reasoning‑safety auditing. Reliability verification of conclusions is implemented via the Core kernel (tripartite axioms, four‑part adjudication criteria, three‑zone confidence assessment). The newly‑integrated L1/L2/L3 proposition‑justification modal hierarchy strictly distinguishes a priori constraints, empirical convergences and ontological hypotheses. It eliminates classic boundary violations: treating empirical regularities as a priori necessary truths, and equating human cognitive constructs directly to intrinsic world structures.
 
Three rigid cross‑layer prohibitions are embedded within the system:
 
1. L2 empirical conclusions shall not be elevated to L1 a priori necessities;
2. L1 cognitive frameworks shall not directly deduce L3 ontological claims;
3. L3 hypotheses shall not retroactively alter L1/L2 evaluation criteria.
 
These rules eliminate a‑priori boundary‑violation risks at the foundational level. A four‑step meta‑adjudication protocol (formal validation → contextual validation → empirical validation → multi‑perspective evaluation) renders MCCE’s own reasoning, proposition tiers and evaluation standards publicly inspectable and externally challengeable, resolving the hollow self‑referential auditing problem of prior frameworks.
 
Mature top‑level risk‑control architecture is retained: the L0 semi‑external third‑party audit layer avoids self‑validating methodological loops; the L5 full‑dimensional ethical‑audit layer prevents out‑of‑control or improper technologization of assets. The P8 (NEW‑AXIOM) plugin generates standardized falsifiable candidate axioms driven by real‑world hard anomalies.
 
The key update of V8.3 is the full structural integration of the LAPE system, absorbing eight core advantages of Layered‑Audit A Priori Epistemology (LAPE) V2.1: formal auditing is upgraded from conceptual slogans to executable protocols; mixed‑proposition management is transformed into three‑tier modal governance; superficial textual self‑declarations are replaced by a standardized four‑step meta‑audit closed‑loop mechanism. The new P18 symbiotic‑assembly dedicated‑audit plugin adds boundary‑violation auditing capacity for human‑AI coupled cognitive systems, adapting to distributed reasoning scenarios in the AGI era.
 
MCCE V8.3 makes no claim to absolute truth. All outputs are attached with refutable boundary conditions, failure fingerprints, proposition‑tier attribution and full‑chain audit traces. The entire methodology accepts independent external oversight and iterative revision, with no internal self‑validating closed loops. Ambiguous textual speculation and empirical inference are converted into auditable, stress‑testable, cross‑generation reproducible standardized engineering workflows grounded in a priori epistemology with native anti‑violation safeguards.
 
Version‑lock status: V8.3 (2026‑08‑15). Full LAPE integration completed; global system hierarchy locked. Five core axioms remain unfalsified; the standardized meta‑audit protocol is fully internalized.
 
Definition of “locked status”: “Locked” means no further additions or deletions will be applied to this release. It does not mean axioms cannot be overturned by future evidence. Falsifiability of axioms is guaranteed by standardized falsification conditions in Appendix C.
 
One‑operator‑plus‑mobile‑AI workflow: all reasoning and computation can be completed by voice input with no paper‑and‑pen required. All experiments and audits in this release are completed by a single human operator collaborating with multiple AI assistants. All procedures are traceable and reproducible.
 
Quick‑start for practitioners
This document totals approximately 100 000 words, covering ontological reasoning, axiomatic proofs, layered auditing, paradigm rules and engineering parameters. Full reading demands substantial time investment.
 
For practitioner‑oriented users, an official minimal deployment path is provided:
Upload the full PDF of this document to any mainstream large‑language model (ChatGPT, Claude, Wenxin Yiyan, Tongyi Qianwen, etc.), and use the prompt below to extract executable workflows without full manual reading or rule memorization.
 
One‑click prompt (copy‑paste ready):
 
I have uploaded the complete PDF of Meta‑Convergence Cognitive Engine (MCCE) V8.3‑LAPE Cross‑Disciplinary General Causal‑Dynamic Evaluation Language. Ignore philosophical arguments, theoretical origins and experimental backup data. Only retain operation‑execution content. Output three deliverables:
 
1. Five pre‑launch mandatory checks for MCCE;
2. Three cross‑layer prohibitions (hard veto red lines);
3. One‑click guide for automatic matching of Mode A/B/C/D according to my concrete problem.
 
For systematic study, follow the manual’s skip‑reading structure: start with Section 2.9 “Four‑Mode Practical Quick‑Reference” for scenario matching, then implement workflows via Chapter 10 “Mobile‑AI Full‑Automation Instruction‑Set”. For contested conclusions, instruct the AI to verify original source text from corresponding chapters within the PDF.
 
 
 
Academic Abstract (V8.3‑LAPE Integrated Release)
 
This paper presents the Meta‑Convergence Cognitive Engine (MCCE) V8.3‑LAPE integrated edition: a cross‑disciplinary general causal‑dynamic evaluation language taking falsifiability as its top‑level meta‑axiom, differential structures as its sole information source, κ = 3 as its core convergence skeleton, negative dynamics for characterizing system decay, and time‑irreversibility as the underlying direction for reasoning.
 
System positioning: an auxiliary axiom‑discovery protocol with a priori epistemological grounding, layered‑audit driven, native boundary‑violation prevention, external oversight, and rigid auditing plus ethical constraints.
 
Four rigid pillars guarantee the framework’s validity:
 
1. A‑priori epistemological foundation (cognitive irrejectability of Axiom‑S: the Difference‑Identity Fracture);
2. Global empirical support (100 positive validation cases + N = 100 global reverse‑deduction tests);
3. Built‑in self‑constraint immunity (L1/L2/L3 tripartite system, three cross‑layer prohibitions, standardized meta‑audit protocol);
4. External rigid supervision (L0 semi‑external independent audit, L5 full‑dimensional ethical risk‑control, public global‑challenge mechanism).
 
Major V8.3 updates originate from full LAPE structural integration: L1/L2/L3 proposition‑justification‑mode trichotomy, three cross‑layer prohibitions, standardized four‑step meta‑audit protocol, and the P18 symbiotic‑assembly cognitive‑audit plugin. Final system‑audit rating: Grade‑AA.
 
Author Responsibility Statement
 
All frameworks, five core axioms, reasoning workflows, parameters and experimental protocols within Meta‑Convergence Cognitive Engine (MCCE) V8.3 are independently conceived and designed by the human author. Mobile‑based AI assistants perform only computational inference, parameter trial‑calculation, text formatting and auxiliary work. They take no part in underlying theoretical creation, core judgements or decision‑making. All reasoning, data and conclusions are manually reviewed. The author bears sole academic responsibility for the full content of this document.