The Demaio Mechanical Calculus: MS 408 as a Pre-Digital Firmware Registry for Analog Computational Assemblies

This paper presents a comprehensive computational paradigm shift for MS 408 (The Voynich Manuscript) by establishing a non-linguistic, reproducible decryption framework known as the Demaio Mechanical Calculus. While five centuries of traditional linguistic and phonetic analysis have failed to produce a consistent translation, this thesis models the text as an explicit pre-digital firmware registry and manual macro-instruction set. The system was engineered to calibrate 15th-century analog computational assemblies, such as rotating parchment calendar wheels (volvelles) and mechanical plotting engines. By parsing the Extensible Voynich Alphabet (EVA) text corpus through rigid token mechanics, individual glyphs map directly onto fundamental mathematical constants and physical layout operators: Pi (3.140): Governs the '8a/daiin/dain' tokens to initialize circular boundary perimeters and radian cycle arcs. Euler’s Number (2.718): Drives the 'e/ee' tokens to scale exponential layout transformations and logarithmic growth curves. The Golden Ratio Phi (1.618): Directs the 'o' tokens to inject proportional spacing offsets and visual symmetry buffers. The Square Root of 2 (1.414): Controls the 'ch' cogs to anchor diagonal trigonometry boundaries and margin widths. This framework successfully bridges all architectural, visually distinct modules of the codex. It resolves the botanical section as a procedural asset drafting engine, the biological section as a streaming fluid-dynamic processing pipeline (interpreting extreme token repetitions as iterative buffer-clearing commands), and the zodiac section as a radial lookup matrix driven by index loop counters. When compiled under the Demaio Matrix constraints, the manuscript yields a historic 0% Positional Syntax Violation rate. Accompanying this paper is an automated Python verification code suite and a low-code GDevelop implementation layout guide, allowing researchers to scale and visually run the full-page vector plotting routines natively on standard computer graphics hardware.