The Grammar of Complex Systems: Structure, Motion, Boundary, Feedback, Memory, and Meaning Across Disciplines

This preprint proposes a controlled interdisciplinary grammar for reading complex systems without collapsing science, humanities, and symbolic traditions into one another. It argues that complex phenomena can be compared through recurring analytical operators such as structure, motion, medium, boundary, time, scale, coupling, constraint, feedback, translation, information, memory, perception, symbol, culture, environment, and observer. The article does not claim a new natural law. It offers a source-controlled framework for comparing how patterns persist, change, and acquire meaning across physical, biological, cognitive, social, and cultural systems. The contribution is a disciplined vocabulary for studying pattern, system behavior, feedback, memory, meaning, and interpretation across fields including systems theory, cybernetics, complexity science, information theory, network science, semiotics, cultural memory, and philosophy of science.