This paper proposes Semantic Flow Dynamics, a framework addressing what Shannon's information theory leaves untouched: what happens after a signal enters consciousness. Starting from a single postulate—that signals undergo transformation into unique, non-replicable meaning upon entering consciousness—the framework introduces xin (信) as an irreducible primitive denoting the holistic orientation that determines how consciousness converts signals into semantics. From this postulate, the paper derives a set of dynamical properties (transformation, expression gap, resistance, drift, collision, resonance, emergence, generational rupture, silence, and death) and positions semantics epistemologically via a dark matter analogy: unobservable in itself, yet indispensable for explaining observable phenomena. The framework interfaces with Shannon's information theory, Bourdieu's habitus, Durkheim's collective consciousness, Anderson's imagined communities, Barth's ethnic boundary theory, and others, supplying the consciousness-side mechanism each lacks.
黃正宇 (Thu,) studied this question.
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