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Fractals and artificial intelligence to decrypt ideography and understand the evolution of language

Published online by Cambridge University Press:  02 October 2023

Cédric Sueur Open the ORCID record for Cédric Sueur [Opens in a new window]  and
Marie Pelé Open the ORCID record for Marie Pelé [Opens in a new window]
Cédric Sueur
Affiliation:
Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France cedric.sueur@iphc.cnrs.fr; https://sites.google.com/site/cedricsueuranimalbehaviour/ Institut Universitaire de France, Paris, France
Marie Pelé
Affiliation:
ANTHROPO-LAB, ETHICS EA7446, Université Catholique de Lille, Lille, France marie.pele@univ-catholille.fr www.ethobiosciences.com
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Abstract

Self-sufficient ideographies are rare because they are stifled by the issue of standardization. Similar issues arise with abstract art or drawings created by young children or great apes. We propose that mathematical indices and artificial intelligence can help us decode ideography, and if not to understand its meaning, at least to know that meaning exists.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e254
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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