Communication is not the transmission of meaning, but the structural convergence of independently generated meanings. This work introduces Structural Communication (SDComm) v1. 0, a minimal, formal, and directly falsifiable framework for understanding meaning generation, structural alignment, and convergence. In this framework, meaning is not intrinsic to a signal or fixed state, but emerges as a response generated by an underlying structure. Communication is therefore redefined as a structural process in which independently generated meanings converge through interaction-driven updates of response structures. The core formulation is given by: M = R (Sfixed, Σ) where meaning M arises from a fixed state Sfixed through a response structure Σ. The framework is supported by a unified figure set demonstrating: - meaning generation from shared inputs, - structural alignment through interaction, - quantitative convergence of meaning differences, - and the emergence of shared meaning. SDComm provides a clear and directly testable pathway toward experimental validation, with explicit falsifiability conditions based on convergence behavior and structural updates. This formulation unifies meaning generation, alignment, and communication within a single structural framework, with implications for information theory, artificial intelligence, cognitive science, and communication systems. Communication is not the transfer of meaning. It is the structural convergence of generated meanings.
Koji Okino (Thu,) studied this question.