元收敛认知引擎(MCCE) V8.2-L5:跨学科通用因果动力学评估语言(深度审查修复版)

Description

Abstract (Chinese)

This paper presents the Meta-Convergence Cognitive Engine (MCCE) V8.2-L5, a cross-disciplinary general causal dynamics assessment language anchored on the falsifiability meta-axiom M-0, with differential flows as temporal substrate and κ=3 three-dimensional convergence as its core skeleton.

Its methodological foundation consists of five permanently locked core axioms: M-0 (falsifiability priority), M-1 (differential dynamics), M-2 (κ=3 convergence rule), M-3 (sufficiency of information), M-4 (time irreversibility). It covers stages 0–6 with 0.5 effective-domain self-inspection, embedding three prediction modules: M-FORE dynamics sandbox, M-YI periodic inference, M-HUANG long-cycle forecasting, together with closed-loop regulation and an extensible ecosystem of 7 analytical plugins.

Empirical base (94 cases): 50 classical single-stability baselines (100% pass), 31 complex-system stress tests, 12 blank boundary cases, covering non-equilibrium thermodynamics, active matter, time delay, stochasticity, networks and other edge systems; zero false negatives for 33.0% of failure-domain cases. The effective/failure domain is bounded by four paired criteria: κ-free>3 / Δλ-free<0.08 / BiasRate>15%; seven counterfactual examples achieve Branch-A pass and Branch-B early warning, identifying pseudo-stability, time-varying constraints, noise escape and small-delay synchronization.

Three cross-era benchmark suites: A1 meta-causal structural evolution, A2 computational irreducibility classification, A3 dynamical hallucination detection, aligned with modern XAI robustness, Pearl causal theory, Lyapunov stability, computational irreducibility and AI causal reasoning.

【V8.2-L5 Revision Note, 2026-08-13】This release completes deep review & remediation for five fundamental paradoxes: restructuring L0 as a semi-external audit + open-challenge layer; separating the triple axiom into dual status: heuristic framework at epistemological layer vs engineering default parameter, adding super-triple-domain candidate reporting; introducing Appendix O for second-order coupling risks and three inherent cognitive boundaries; narrowing inductive claims with explicit sample coverage and agnostic regions; rebuilding M-0 self-falsification with a three-category scheme and operational definition of “undeniable”, and explicitly stating that the falsifiability-priority meta-commitment is a non-self-provable methodological starting point. All new revisions are tracked under audit and version control, preserving ongoing falsification and update pathways.

Audit rating & execution model: internal audit grade AA (high confidence); target AA+ after EXP-012 (132 human-AI collaborative stress tests). All simulations, experiments and audits are traceable, replicable and challengeable; long-term verification anchors set for 2030/2035, 2526 and SQEL quantum spacetime observation.

【英文关键词|Keywords】

Meta-Convergence Cognitive Engine; MCCE; causal dynamics; falsifiability; κ=3 convergence; dynamical hallucination; cross-era benchmark; five axiom system; four-mode closed loop; plugin ecosystem; time irreversibility; complex systems; explainable AI; XAI; boundary case library