Proposes a tested framework for modeling intelligent systems, suggesting new methodologies for research.
Based on the unified SFL theoretical framework built in SFL-EAI-01, this paper sorts out complete methodological norms for SFL intelligent system research, including theoretical prediction deduction, quantitative judgment standards and explicit falsification thresholds. Combined with the state equation: G = G₀ + ΔG_d(+) − ΔG_d(−) and dissipation constraint: ε(T) = o(1/T) This paper forms the complete judgment standard system of SFL intelligent theory, converts the retrospective interpretation framework into a testable theoretical model with forward prediction capacity, unifies isomorphic rules among intelligent systems, viruses, biological cells and electronic hardware, and finishes the methodological construction of cross-domain complex system theory under Species Fixed Law.
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FOO SENG ANG (2026) studied this question.
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