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Computational analysis demonstrates automated classification of writing systems using entropy metrics across sign sequences, suggesting viable decipherment benchmarking.
rule: Take 100 random sign sequences from each script, have agents classify as phonetic/logographic/mnemonic based on entropy and repetition; compare to known deciphered scripts as control. source: rlab #186 Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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