DSFB Structural Semiotics Engine for General Systems: A Deterministic Endoduction Framework for Residual-Based Meaning Extraction

We propose a deterministic structural semiotics framework that treats residual evolution as an interpretable signal rather than noise, enabling inference to proceed directly from structured deviation without requiring exhaustive prior specification of system behaviors. This paper introduces a deterministic structural semiotics framework in which residual dynamics are treated as primary inferential objects, yielding finite-time detectability guarantees governed by their evolution relative to admissible envelopes rather than by residual magnitude alone.This paper develops a deterministic structural semiotics engine for dynamic engineered systems, reframing residuals not as noise to be minimized but as structured…