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How Can Data Science Contribute to Understanding the Khipu Code?
Manuel Medrano, Ashok Khosla, 2024. Latin American Antiquity 36(2), 497-516.
Generalises the Ascher sum relations across a 650-khipu corpus, finds them in at least 74 per cent of khipus, identifies top cords as markers of working khipus, rejoins two fragments by arithmetic and proposes white pendants as boundary markers.
What it's used for here
The largest computational study of the corpus.
Our copy
Research copy, for editors and curators. The work is the publisher's, so readers are sent to it. We keep this copy so the citation can be checked if the page changes or goes.
doi.org · fetched 27 Oct 2026
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Cite it
Medrano, M., & Khosla, A. (2024). How Can Data Science Contribute to Understanding the Khipu Code?. Latin American Antiquity 36(2), 497-516. https://doi.org/10.1017/laq.2024.5
@article{medrano2024data,
author = {Medrano, Manuel and Khosla, Ashok},
title = {How Can Data Science Contribute to Understanding the Khipu Code?},
journal = {Latin American Antiquity 36(2), 497-516},
year = {2024},
doi = {10.1017/laq.2024.5},
url = {https://doi.org/10.1017/laq.2024.5}
}TY - JOUR TI - How Can Data Science Contribute to Understanding the Khipu Code? AU - Medrano, Manuel AU - Khosla, Ashok PY - 2024 JO - Latin American Antiquity 36(2), 497-516 DO - 10.1017/laq.2024.5 UR - https://doi.org/10.1017/laq.2024.5 ER -
Medrano, Manuel and Ashok Khosla. “How Can Data Science Contribute to Understanding the Khipu Code?.” Latin American Antiquity 36(2), 497-516 (2024). https://doi.org/10.1017/laq.2024.5.