Semantic Possibility Conditions in Entropically Stabilized Systems

Semantic Possibility Conditions in Entropically Stabilized Systems explores the hypothesis that meaning—understood as structured, interpretable information—can only emerge in physical systems that meet specific thermodynamic constraints. The paper introduces the Semantic Window Hypothesis, which proposes that semantics arises within a bounded entropy range defined by both energetic input and information coherence. Drawing from thermodynamics, information theory, cognitive science, AI, planetary science, and systems theory, the work develops a cross-disciplinary framework linking entropy management to semantic viability. Case studies span biological networks, artificial intelligence systems, planetary environments, and civilizational structures. The paper argues that semantics is not abstract or disembodied, but thermodynamically gated—built upon the physical capacity to buffer entropy while sustaining interpretive feedback.