This work proposes a novel interpretation of the Voynich Manuscript as a structured system of state transitions rather than a natural language or cipher. Unlike traditional linguistic and cryptographic approaches, this study focuses on the functional roles of recurring tokens and their transition dynamics. Based on statistical, positional, and structural analysis, the manuscript is modeled as an algorithmic system composed of initiation, state, transition, and stabilization phases. Key findings include: - Identification of a dominant transition structure: state → transition → stabilization - Evidence of directional constraints in token transitions - Detection of statistically forbidden transitions - Functional interpretation of recurring tokens (qo-, okaiin, daiin, aiin) - Morphological decomposition into operator-like subunits - Comparison with machine learning models demonstrating that statistical reproduction does not imply structural explanation The proposed model suggests that the Voynich Manuscript may represent a formal system describing processes rather than objects. This work does not claim a full decipherment but provides a testable framework for further investigation.
Dmytro Kalinin (Wed,) studied this question.