元收敛认知引擎(MCCE)V8.1:跨学科通用因果动力学评估语言|扩展层全集·终审增补版

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Abstract (Chinese)

English Abstract
 
This paper proposes the Meta-Convergence Cognitive Engine (MCCE) V8.1, a cross-disciplinary general causal dynamical evaluation language rooted in the meta-axiom of falsifiability. It takes difference as the basic unit of information, κ=3 three-dimensional convergence as its core framework, negative dynamics for tracking endogenous system degradation, and time irreversibility as the fundamental evolutionary constraint.
 
The methodology adopts a four-tier axiomatic architecture:
 
1. Fundamental physical ontological axioms: P1 Variational Determinism, P2 Entropy-Increase Statistical Theory, P3 Quantum Irreducibility;
2. Epistemological axioms for cognition: M1 System-Steady-State Law, M2 Synergy-Emergence Law, M3 Encoding-Prediction Law;
3. Permanently locked core operational axioms: M-0 Falsifiability Priority Law, M1 Difference-as-Information, M2 κ=3 Convergence Law, M-3 Negative Dynamics, M-4 Time Irreversibility (no further expansion of core ontology);
4. Extended domain exploratory axiom: the SQEL Spacetime-Quantum Encoding Limit Axiom, which puts forward three falsifiable physical predictions including the black hole entropy area law, Planck-scale spacetime discreteness and cosmic holographic bound.
 
The standardized workflow covers Stage 0 to Stage 6, equipped with a three-layer adaptive deduction system. Three core prediction modules (M-FORE dynamical sandbox, M-YI periodic deduction, M-HUANGJI long-cycle analysis) and four orthogonal operation modes (Forward Induction A, Reverse Deduction B, Diagnostic Deconstruction C, Constraint Regulation D) are integrated. Combined use of the four modes delivers a synergy gain of 2.2–2.5 times, with seven standardized extension plugins for various boundary complex systems.
 
Supplementary extended-layer empirical materials were updated on August 13, 2026:
 
1. A total of 100 forward convergence verification samples, including 50 single-steady-state baselines, 19 complex system stress tests, 12 dynamical boundary cases and 12 blank-domain supplements. The convergence rate within valid domains reaches 100%; four joint criteria (κ_free≠3, Δλ_free<0.08, BiasRate>15%, significant constraint effects) trigger synchronously in failure domains with zero false negatives.
2. Full-domain reverse deduction with sample sizes N=20/30/100. Free clustering consistently yields effective rank = 3; Δλ rises monotonically with sample expansion up to 0.21, and the top three axes account for a maximum of 72% variance, verifying that the κ=3 structure is an inherent rigid geometric feature of the entire methodology space.
3. Six cross-timeline experiments (E-TIMELESS-01~06) covering timescales from 50,000 years ago to far future scenarios. None of the experiments falsified the Core tripartite axiom framework. Only E-01 passes conditionally; the rest are marked as open predictions or weakly supported due to insufficient confidence below the formal threshold of 0.70.
4. Three supporting cross-domain calibration groups for meta-causal evolution, computational irreducibility classification and dynamical illusion benchmark detection.
 
A self-referential evolutionary mechanism is embedded in the framework. Two sets of four-axiom architectures are preset as potential iterative upgrades, judged by two critical groups of experiments testing the fundamental nature of entropy increase and the distinction between classical chaos and quantum randomness. This fully implements the M-0 falsifiability meta-axiom that the system allows self-overhaul.
 
The framework intersects Pearl’s causal theory, Lyapunov stability theory, computational irreducibility theory and interpretable AGI reasoning. All deduction, simulation and auditing work can be completed by a single operator collaborating with multiple AI tools, with full traceability and reproducibility.
 
Audit rating: AA (high credibility). The Core five axioms are permanently sealed. All supplementary contents including ontological layers, full-domain deduction and cross-era experiments are exploratory, with incomplete confidence metrics reserved for future observation and revision. Long-term falsifiable inspection anchors: verification in 2030/2035 (AI prediction test), unlocking of the 2526 time capsule, and three SQEL spacetime quantum observational predictions.
 
English Keywords
 
Meta-Convergence Cognitive Engine; MCCE; falsifiability; κ=3 convergence; negative dynamics; time irreversibility; physical ontological axioms; epistemological tripartite axioms; SQEL; cross-era experiments; causal dynamics; complex systems; interpretable artificial intelligence