Language as Cognitive Geometry: How Structural Form Predicts Patterns of Thought

Cognitive Linguistic Plasticity (CLP) presents a unified structural framework linking the formal properties of human languages to predictable, probabilistic differences in cognitive calibration. The paper introduces a five‑dimensional coordinate system—Lexeme Density, Morphological Flexibility, Syntax Depth, Orthographic Transparency, and Semantic Granularity—that captures the minimal set of structural variables needed to describe how languages shape memory, abstraction, reasoning style, and information processing efficiency. CLP treats language as a constraint geometry installed during early development: a lattice that calibrates the supervisory cognitive layer while it remains plastic, influencing which heuristics become default, which transformations are most efficient, and which forms of reasoning are most cognitively natural. The framework positions human cognition as a layered system in which low‑level sensory and regulatory processes feed into a symbolic supervisory system whose performance is modulated by linguistic structure. By mapping natural languages into a continuous structural space, CLP quantifies how different linguistic systems bias cognitive strategies toward construction vs. retrieval, hierarchical reasoning vs. surface mapping, rule‑based decoding vs. memorization, or precision vs. generalization. These tendencies are probabilistic rather than deterministic and are moderated by education, multilingual exposure, neurodevelopmental variation, and literacy environments. The paper provides structural mappings, falsifiable predictions, behavioral signatures, and a formal mathematical appendix that supports computational modeling. It also outlines empirical tests ranging from developmental studies to neuroimaging contrasts, large‑scale corpus analysis, and experimental interventions. CLP is substrate‑agnostic and serves as a foundational layer for research in cognitive science, education, linguistic typology, cultural evolution, and human–AI interaction. The coordinate system is general enough to support cross‑disciplinary comparisons while remaining precise enough for direct computational implementation. This work is designed as a standalone research artifact. It complements other system‑level models that treat cognition, culture, and transmission as constrained update processes, but it does not require any external framework to be understood or applied.