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

Journal: The Behavioral and brain sciences
PMID:

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.

Authors

  • Cédric Sueur
    Institut Pluridisciplinaire Hubert Curien (IPHC) UMR 7178 Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg, 67000 Strasbourg, France.
  • Marie Pelé
    ANTHROPO-LAB, ETHICS EA7446, Université Catholique de Lille, Lille, France marie.pele@univ-catholille.fr www.ethobiosciences.com.